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ORCIDSaeid Nahavandi
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2020 – today
- 2024
[j257]Roohallah Alizadehsani
, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339(3): 1077-1118 (2024)- [j256]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024) - [j255]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 118: 109370 (2024) - [j254]Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang, Mohammad Reza Chalak Qazani, Sam Oladazimi, Chu Kiong Loo, Chee Peng Lim, Saeid Nahavandi:
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review. Expert Syst. Appl. 249: 123717 (2024) - [j253]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024) - [j252]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine learning meets advanced robotic manipulation. Inf. Fusion 105: 102221 (2024) - [j251]Alireza Hosseinnajad, Navid Mohajer, Saeid Nahavandi:
Barrier Lyapunov Function-based Backstepping Controller Design for Path Tracking of Autonomous Vehicles. J. Intell. Robotic Syst. 110(3): 118 (2024) - [j250]Subhash Chand Yogi, Laxmidhar Behera, Saeid Nahavandi:
Adaptive Intelligent Minimum Parameter Singularity Free Sliding Mode Controller Design for Quadrotor. IEEE Trans Autom. Sci. Eng. 21(2): 1805-1823 (2024) - [j249]Mohammad Reza Chalak Qazani, Behrooz Shirani Bidabadi, Houshyar Asadi, Saeid Nahavandi, Farnoosh Shirani Bidabadi:
Multiobjective Optimization of Roll-Forming Procedure Using NSGA-II and Type-2 Fuzzy Neural Network. IEEE Trans Autom. Sci. Eng. 21(3): 3842-3851 (2024) - [j248]Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges. IEEE Trans. Cybern. 54(12): 7173-7186 (2024) - [j247]Mohammad Reza Chalak Qazani, Houshyar Asadi, Muhammad Zakarya, Chee Peng Lim, Alan Wee-Chung Liew, Mansour A. Karkoub, Saeid Nahavandi:
A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios. IEEE Trans. Intell. Transp. Syst. 25(6): 5112-5121 (2024) - [j246]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi, Miadreza Shafie-Khah, João P. S. Catalão:
An Optimized Uncertainty-Aware Training Framework for Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6928-6935 (2024) - [j245]Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady M. K. Mohamed, Saeid Nahavandi:
A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation. IEEE Trans. Veh. Technol. 73(7): 9696-9705 (2024) - [j244]Lars Kooijman, Houshyar Asadi, Camilo Gonzalez Arango, Shady M. K. Mohamed, Saeid Nahavandi:
Investigating the influence of neck muscle vibration on illusory self-motion in virtual reality. Virtual Real. 28(2): 76 (2024) - [c406]Wadhah Al-Ashwal, Houshyar Asadi, Shehab Alsanwy, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
Objective Assessment of Cybersickness in a Stationary Helicopter Simulator Using Pupil Diameter as a Quantitative Indicator. SysCon 2024: 1-7 - [c405]Wadhah Al-Ashwal, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi, Bernhard E. Riecke:
Galvanic Skin Response and AE-LSTM for Anomaly Detection in VR-Induced Motion Sickness. SysCon 2024: 1-7 - [c404]Shehab Alsanwy, Mohammad Reza Chalak Qazani, Wadhah Al-Ashwal, Arian Shajari, Saeid Nahavandi, Houshyar Asadi:
Vehicle Trajectory Prediction Using Deep Learning for Advanced Driver Assistance Systems and Autonomous Vehicles. SysCon 2024: 1-8 - [c403]Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi, Chee Peng Lim:
Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data. SysCon 2024: 1-8 - [i58]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim:
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. CoRR abs/2407.15901 (2024) - [i57]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Saeid Nahavandi, Chee Peng Lim:
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model. CoRR abs/2408.06350 (2024) - 2023
- [j243]Ngoc Duy Nguyen, Thanh Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Thi Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Towards designing a generic and comprehensive deep reinforcement learning framework. Appl. Intell. 53(3): 2967-2988 (2023) - [j242]Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158: 106841 (2023) - [j241]Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware credit card fraud detection using deep learning. Eng. Appl. Artif. Intell. 123(Part A): 106248 (2023) - [j240]Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
An intelligent driven deep residual learning framework for brain tumor classification using MRI images. Expert Syst. Appl. 213(Part): 119087 (2023) - [j239]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion 90: 364-381 (2023) - [j238]Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi:
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. Inf. Fusion 97: 101813 (2023) - [j237]Li Zhang, Sam Slade, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi, Haoqian Huang, Hang Ruan:
Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks. Knowl. Based Syst. 277: 110828 (2023) - [j236]Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - [j235]Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino:
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23(3): 1466 (2023) - [j234]Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4(5): 1165-1177 (2023) - [j233]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction. IEEE Trans. Cogn. Dev. Syst. 15(3): 1102-1122 (2023) - [j232]Dinh Cong Huong, Saeid Nahavandi, Hieu Trinh:
Event-Triggered State and Disturbance Estimation for Lipschitz Nonlinear Systems With Unknown Time-Varying Delays. IEEE Trans. Cybern. 53(12): 7895-7905 (2023) - [j231]Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi:
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [j230]Mohammad Reza Chalak Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour A. Karkoub, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Trans. Intell. Transp. Syst. 24(9): 9191-9202 (2023) - [j229]Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators. IEEE Trans. Intell. Veh. 8(1): 390-403 (2023) - [j228]Anuj Nandanwar, Narendra Kumar Dhar, Laxmidhar Behera, Saeid Nahavandi, Rajesh Sinha:
A Discrete-Time Event-Driven Near-Optimal Second-Order SMC for Multirobotic System Formation Prone to Network Uncertainties. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6354-6367 (2023) - [j227]Houshyar Asadi, Tobias Bellmann, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators. IEEE Trans. Veh. Technol. 72(6): 7024-7034 (2023) - [c402]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS 2023: 1-19 - [c401]Archit Krishna Kamath, Tanmoy Dam, Heera Lal Maurya, Padmini Singh, Ranjith Ravindranathan Nair, Saeid Nahavandi:
Modelling and Sliding Mode Control of a Stereo Vision Augmented 6 DoF Quadrotor System. ICAR 2023: 425-430 - [c400]Ghazal Rahimzadeh, Darius Nahavandi, Shady M. K. Mohamed, Pawel Plawiak, Saeid Nahavandi, Houshyar Asadi:
Artificial Intelligence-based Motion Sickness Detection: A Survey. ICECS 2023: 1-8 - [c399]Mehshan Ahmed Khan, Houshyar Asadi, Thuong N. Hoang, Chee Peng Lim, Saeid Nahavandi:
Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels. ICONIP (9) 2023: 313-325 - [c398]Mehedi Hasan, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. SMC 2023: 973-980 - [c397]Sudarshan Mark Samarasinghe, Ahmad Abu Alqumsan, Adetokunbo Arogbonlo, Mohammad Rokonuzzaman, Saeid Nahavandi:
Robust Cooperative Control of a Team of UAVs Carrying a Slung Payload. SMC 2023: 1780-1785 - [c396]Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi:
Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model. SMC 2023: 2093-2099 - [c395]Parham M. Kebria, Saeid Nahavandi, Peter Enticott, Fernando Bello:
Haptically-Enabled Robotic Teleoperation for Transcranial Magnetic Stimulation (TeleTMS). SMC 2023: 2100-2105 - [c394]Shehab Alsanwy, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle. SMC 2023: 3097-3103 - [c393]Mohammad Hedayati, Navid Mohajer, Mohammad Rokonuzzaman, Saeid Nahavandi:
Robust $H_{\infty}$ Estimation of Sideslip Angle of Vehicles with Fading Measurements. SMC 2023: 3440-3445 - [c392]Mohammad Reza Chalak Qazani, Houshyar Asadi, Arian Shajari, Zoran Najdovski, Chee Peng Lim, Saeid Nahavandi:
A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles. SMC 2023: 3480-3486 - [c391]Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand, Saeid Nahavandi:
A CNN-Based Deep Learning Approach in Anomaly-Based Intrusion Detection Systems. SMC 2023: 3627-3632 - [c390]Afsana Ahmed Munia, Ibrahim Hossain, Seyed Mohammad Jalali, Pegah Tabarisaadi, Ashikur Rahman, Saeid Nahavandi:
Uncertainty-Aware Deep Learning for Segmenting Ultrasound Images of Breast Tumours. SMC 2023: 4228-4235 - [i56]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR abs/2304.01543 (2023) - [i55]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - [i54]Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady M. K. Mohamed, Saeid Nahavandi:
A novel approach of a deep reinforcement learning based motion cueing algorithm for vehicle driving simulation. CoRR abs/2304.07600 (2023) - [i53]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shadi Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - [i52]Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges. CoRR abs/2309.02473 (2023) - [i51]Haoxu Zhang, Parham M. Kebria, Shadi Mohamed, Samson Shenglong Yu, Saeid Nahavandi:
A Review on Robot Manipulation Methods in Human-Robot Interactions. CoRR abs/2309.04687 (2023) - [i50]Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand, Saeid Nahavandi:
A Review of Machine Learning-based Security in Cloud Computing. CoRR abs/2309.04911 (2023) - [i49]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine Learning Meets Advanced Robotic Manipulation. CoRR abs/2309.12560 (2023) - 2022
- [j226]Saeid Nahavandi, Shady M. K. Mohamed, Ibrahim Hossain, Darius Nahavandi, Syed Moshfeq Salaken, Mohammad Rokonuzzaman, Rachael Ayoub, Robin Smith:
Autonomous Convoying: A Survey on Current Research and Development. IEEE Access 10: 13663-13683 (2022) - [j225]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
General Forward Kinematics for Tendon-Driven Continuum Robots. IEEE Access 10: 60330-60340 (2022) - [j224]Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya:
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143: 105246 (2022) - [j223]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware skin cancer detection: The element of doubt. Comput. Biol. Medicine 144: 105357 (2022) - [j222]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya:
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 146: 105554 (2022) - [j221]Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 149: 106053 (2022) - [j220]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Subrota Kumar Mondal, Mustaneer Rahman, Saeid Nahavandi, Rajkumar Buyya:
Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. ACM Comput. Surv. 54(4): 74:1-74:30 (2022) - [j219]Thanh Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Thien Huynh-The, Saeid Nahavandi, Thanh Tam Nguyen, Quoc-Viet Pham, Cuong M. Nguyen:
Deep learning for deepfakes creation and detection: A survey. Comput. Vis. Image Underst. 223: 103525 (2022) - [j218]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An optimal washout filter for motion platform using neural network and fuzzy logic. Eng. Appl. Artif. Intell. 108: 104564 (2022) - [j217]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya:
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j216]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi:
X-ray image based COVID-19 detection using evolutionary deep learning approach. Expert Syst. Appl. 201: 116942 (2022) - [j215]Marwan Qaid Mohammed, Kwek Lee Chung, Shing Chyi Chua, Arafat Al-Dhaqm, Saeid Nahavandi, Taiseer Abdalla Elfadil Eisa, Muhammad Fahmi Miskon, Mohammed Nasser Al-Mhiqani, Abdulalem Ali, Mohammed Abaker, Esmail Ali Alandoli:
Review of Learning-Based Robotic Manipulation in Cluttered Environments. Sensors 22(20): 7938 (2022) - [j214]Vibhu Kumar Tripathi, Subhash Chand Yogi, Archit Krishna Kamath, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
A Disturbance Observer-Based Intelligent Finite-Time Sliding Mode Flight Controller Design for an Autonomous Quadrotor. IEEE Syst. J. 16(1): 1649-1660 (2022) - [j213]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mehrdad Rostami, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring. IEEE Syst. J. 16(2): 1945-1953 (2022) - [j212]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. 69(2): 818-829 (2022) - [j211]Padmini Singh, Anuj Nandanwar, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
Uncertainty Compensator and Fault Estimator-Based Exponential Supertwisting Sliding-Mode Controller for a Mobile Robot. IEEE Trans. Cybern. 52(11): 11963-11976 (2022) - [j210]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform. IEEE Trans. Intell. Transp. Syst. 23(8): 11767-11778 (2022) - [j209]Marwa Ahmed, Ahmed Abobakr, Chee Peng Lim, Saeid Nahavandi:
Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning. IEEE Trans. Intell. Transp. Syst. 23(8): 12562-12571 (2022) - [j208]Mohammad Reza Chalak Qazani, Houshyar Asadi, Li Zhang, Farzin Tabarsinezhad, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network. IEEE Trans. Intell. Transp. Syst. 23(12): 23268-23277 (2022) - [j207]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
An Optimal Motion Cueing Algorithm Using the Inverse Kinematic Solution of the Hexapod Simulation Platform. IEEE Trans. Intell. Veh. 7(1): 73-82 (2022) - [j206]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi:
Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 54-65 (2022) - [j205]Vibhu Kumar Tripathi, Archit Krishna Kamath, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
An Adaptive Fast Terminal Sliding-Mode Controller With Power Rate Proportional Reaching Law for Quadrotor Position and Altitude Tracking. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3612-3625 (2022) - [j204]M. Syed Ali, Govindasamy Narayanan, Saeid Nahavandi, Jin-Liang Wang, Jinde Cao:
Global Dissipativity Analysis and Stability Analysis for Fractional-Order Quaternion-Valued Neural Networks With Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4046-4056 (2022) - [j203]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi:
Human-Tailored Data-Driven Control System of Autonomous Vehicles. IEEE Trans. Veh. Technol. 71(3): 2485-2500 (2022) - [c389]Aptin Babaei, Parham M. Kebria, Saeid Nahavandi:
A survey on Automation Technologies used in Network Control and Management. HSI 2022: 1-6 - [c388]Aptin Babaei, Parham M. Kebria, Saeid Nahavandi:
5G for Low-latency Human-Robot Collaborations; Challenges and Solutions. HSI 2022: 1-5 - [c387]Lars Kooijman, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
A Virtual Reality Study Investigating the Effect of Cybersickness on the Relationship Between Vection and Presence Across Environments with Varying Levels of Ecological Relevance. HSI 2022: 1-8 - [c386]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. HSI 2022: 1-6 - [c385]Archit Krishna Kamath, Subhash Chand Yogi, Laxmidhar Behera, Ranjith Ravindranathan Nair, Saeid Nahavandi:
Back-stepping Nonlinear Integral Sliding Mode Control of a Vision Augmented 3 DoF Quadrotor in the presence of System Uncertainties and Bounded Disturbances. ICCA 2022: 541-546 - [c384]Shehab Alsanwy, Houshyar Asadi, Mohammad Reza Chalak Qazani, Mohammed Al-Ashmori, Shady M. K. Mohamed, Darius Nahavandi, Ahmad Abu Alqumsan, Sari Al-Serri, Seyed Mohammad Jalali, Saeid Nahavandi:
Prediction of Vehicle Motion Signals for Motion Simulators Using Long Short-Term Memory Networks. SMC 2022: 34-39 - [c383]Camilo Gonzalez Arango, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
Automatic Tuning of Adaptive Gradient Descent Based Motion Cueing Algorithm Using Particle Swarm Optimisation. SMC 2022: 85-92 - [c382]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Sadia Khanam, Adetokunbo Arogbonlo, Darius Nahavandi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation. SMC 2022: 635-641 - [c381]Lars Kooijman, Saeid Nahavandi, Houshyar Asadi, Shady M. K. Mohamed:
Does A Secondary Task Inhibit Vection in Virtual Reality? SMC 2022: 1057-1064 - [c380]Lars Kooijman, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
Does the Vividness of Imagination Influence Illusory Self-Motion in Virtual Reality? SMC 2022: 1065-1071 - [c379]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Chee Peng Lim, Adetokunbo Arogbonlo, Shehab Alsanwy, Shadi Mohamed, Mehrdad Rostami, Saeid Nahavandi:
A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN. SMC 2022: 1592-1599 - [c378]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. SMC 2022: 2237-2243 - [c377]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
A Home for Principal Component Analysis (PCA) as part of a Multi-Agent Safety System (MASS) for Human-Robot Collaboration (HRC) within the Industry 5.0 Enterprise Architecture (EA). SMC 2022: 2569-2574 - [c376]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour A. Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. SMC 2022: 2620-2626 - [c375]Mohammad Reza Chalak Qazani, Mansour A. Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. SMC 2022: 2820-2826 - [c374]Navid Mohajer, Asher Winter, Timothy Mark Gregory, Darius Nahavandi, Matthew Watson, Saeid Nahavandi:
Experimental Validation of a High-G Centrifuge System using an Advanced Wireless Human Dummy. SMC 2022: 2827-2832 - [c373]Sari Al-Serri, Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Adetokunbo Arogbonlo, Ahmad Abu Alqumsan, Shehab Alsanwy, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm. SMC 2022: 3317-3323 - [c372]Hailing Zhou, Erika Varis Doggett, Keyu Qi, Binghao Tang, Anna M. C. Wolak, Saeid Nahavandi, David T. Nguyen:
Image Saliency Prediction in Novel Production Scenarios. SMC 2022: 3367-3372 - [i48]Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. CoRR abs/2205.03109 (2022) - [i47]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. CoRR abs/2206.04480 (2022) - [i46]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR abs/2209.09556 (2022) - [i45]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain:
A Comprehensive Review on Autonomous Navigation. CoRR abs/2212.12808 (2022) - 2021
- [j202]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady M. K. Mohamed:
Model Predictive Control With Learned Vehicle Dynamics for Autonomous Vehicle Path Tracking. IEEE Access 9: 128233-128249 (2021) - [j201]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal uncertainty-guided neural network training. Appl. Soft Comput. 99: 106878 (2021) - [j200]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi:
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis. Appl. Soft Comput. 111: 107675 (2021) - [j199]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j198]Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru San Tan, U. Rajendra Acharya:
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128: 104095 (2021) - [j197]Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine 135: 104418 (2021) - [j196]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136: 104697 (2021) - [j195]Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk:
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 139: 104949 (2021) - [j194]Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Syed Mohammed Shamsul Islam, Abbas Khosravi, Ebrahim Fazli, Saeid Nahavandi:
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19). Comput. Biol. Medicine 139: 104994 (2021) - [j193]Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi:
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. Expert Syst. Appl. 163: 113788 (2021) - [j192]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers Neuroinformatics 15: 777977 (2021) - [j191]Khaled Saleh, Ahmed Abobakr, Mohammed Hossny, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Saeid Nahavandi:
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks. Neurocomputing 465: 205-214 (2021) - [j190]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76: 243-297 (2021) - [j189]Mohamed Hammad, Kandala N. V. P. S. Rajesh, Amira Abdelatey, Moloud Abdar, Mariam Zomorodi Moghadam, Ru San Tan, U. Rajendra Acharya, Joanna Plawiak, Ryszard Tadeusiewicz, Vladimir Makarenkov, Nizal Sarrafzadegan, Abbas Khosravi, Saeid Nahavandi, Ahmed A. Abd El-Latif, Pawel Plawiak:
Automated detection of shockable ECG signals: A review. Inf. Sci. 571: 580-604 (2021) - [j188]Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, Abbas Khosravi, Pawel Plawiak, U. Rajendra Acharya, Ryszard Tadeusiewicz, Saeid Nahavandi:
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Inf. Sci. 577: 353-378 (2021) - [j187]Navid Mohajer, Saeid Nahavandi, Hamid Abdi, Zoran Najdovski:
Enhancing Passenger Comfort in Autonomous Vehicles Through Vehicle Handling Analysis and Optimization. IEEE Intell. Transp. Syst. Mag. 13(3): 156-173 (2021) - [j186]Mohamad Beheshti Roui, Mariam Zomorodi, Masoomeh Sarvelayati, Moloud Abdar, Hamid Noori, Pawel Plawiak, Ryszard Tadeusiewicz, Xujuan Zhou, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowl. Based Syst. 231: 107419 (2021) - [j185]Ngoc Duy Nguyen, Thanh Thi Nguyen, Peter Vamplew, Richard Dazeley, Saeid Nahavandi:
A Prioritized objective actor-critic method for deep reinforcement learning. Neural Comput. Appl. 33(16): 10335-10349 (2021) - [j184]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Stable Neural Adaptive Filters for Teleoperations With Uncertain Delays. IEEE Robotics Autom. Lett. 6(4): 8663-8670 (2021) - [j183]Ali Akbar Kekha Javan, Afshin Shoeibi, Assef Zare, Navid Hosseini Izadi, Mahboobeh Jafari, Roohallah Alizadehsani, Parisa Moridian, Amir Mosavi, U. Rajendra Acharya, Saeid Nahavandi:
Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication. Sensors 21(1): 254 (2021) - [j182]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A Motion Cueing Algorithm Based on Model Predictive Control Using Terminal Conditions in Urban Driving Scenario. IEEE Syst. J. 15(1): 445-453 (2021) - [j181]Padmini Singh, Pooja Agrawal, Anuj Nandanwar, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi, Mo M. Jamshidi:
Multivariable Event-Triggered Generalized Super-Twisting Controller for Safe Navigation of Nonholonomic Mobile Robot. IEEE Syst. J. 15(1): 454-465 (2021) - [j180]Samson Shenglong Yu, Xinqi Fan, Tat Kei Chau, Hieu Trinh, Saeid Nahavandi:
Square-Root Sigma-Point Filtering Approach to State Estimation for Wind Turbine Generators in Interconnected Energy Systems. IEEE Syst. J. 15(2): 1557-1566 (2021) - [j179]Padmini Singh, Sandeep Gupta, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
Perching of Nano-Quadrotor Using Self-Trigger Finite-Time Second-Order Continuous Control. IEEE Syst. J. 15(4): 4989-4999 (2021) - [j178]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi:
Prediction of Motion Simulator Signals Using Time-Series Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 57(5): 3383-3392 (2021) - [j177]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Abdollah Kavousi-Fard:
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 595-606 (2021) - [j176]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan:
Neural Network Training for Uncertainty Quantification Over Time-Range. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 768-779 (2021) - [j175]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão:
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting. IEEE Trans. Ind. Informatics 17(12): 8243-8253 (2021) - [j174]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1408-1417 (2021) - [j173]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - [j172]Samrat Dutta, Laxmidhar Behera, Saeid Nahavandi:
Skill Learning From Human Demonstrations Using Dynamical Regressive Models for Multitask Applications. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 659-672 (2021) - [j171]Mohammad Reza Chalak Qazani, Houshyar Asadi, Suiyang Khoo, Saeid Nahavandi:
A Linear Time-Varying Model Predictive Control-Based Motion Cueing Algorithm for Hexapod Simulation-Based Motion Platform. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6096-6110 (2021) - [c371]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs. ICM 2021: 1-6 - [c370]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi:
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. IJCNN 2021: 1-8 - [c369]Marwa Ahmed, Chee Peng Lim, Saeid Nahavandi:
A Deep Q-Network Reinforcement Learning-Based Model for Autonomous Driving. SMC 2021: 739-744 - [c368]Justin Stark, Chee Peng Lim, Saeid Nahavandi:
Design Considerations within Cloud Based System-of-Systems Architecture Framework. SMC 2021: 807-812 - [c367]Mohammad Reza Chalak Qazani, Houshyar Asadi, Adetokunbo Arogbonlo, Ghazal Rahimzadeh, Shady M. K. Mohamed, Siamak Pedrammehr, Chee Peng Lim, Saeid Nahavandi:
Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. SMC 2021: 1042-1048 - [c366]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, Joseph Winter, Keith Rosario:
A Real-Time Motion Control Tracking Mechanism for Satellite Tracking Antenna Using Serial Robot. SMC 2021: 1049-1055 - [c365]Luke Briese, Timothy Mark Gregory, Navid Mohajer, Matthew Watson, Shady M. K. Mohamed, Saeid Nahavandi:
Evaluation of Design Optimisation Techniques in Structural Framing. SMC 2021: 1093-1098 - [c364]Shehab Alsanwy, Houshyar Asadi, Ahmad Abu Alqumsan, Shady M. K. Mohamed, Darius Nahavandi, Saeid Nahavandi:
The Effects of Different Body Positions on Human Physiological Responses Using Universal Motion Simulator. SMC 2021: 1209-1214 - [c363]Mohammad Rokonuzzaman, Navid Mohajer, Shady M. K. Mohamed, Saeid Nahavandi:
A Customisable Longitudinal Controller of Autonomous Vehicle using Data-driven MPC. SMC 2021: 1367-1373 - [c362]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Ahmad Abu Alqumsan, Ghazal Rahimzadeh, Chee Peng Lim, Saeid Nahavandi:
An MPC-based Motion Cueing Algorithm Using Washout Speed and Grey Wolf Optimizer. SMC 2021: 1627-1633 - [c361]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin:
A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles. SMC 2021: 1869-1875 - [c360]Archit Krishna Kamath, Subhash Chand Yogi, Laxmidhar Behera, Saeid Nahavandi:
Vision Augmented 3 DoF Quadrotor Control using a Non-singular Fast-terminal Sliding Mode Modified Super-twisting Controller. SMC 2021: 2030-2036 - [c359]Wadhah Al-Ashwal, Houshyar Asadi, Shady M. K. Mohamed, Shehab Alsanwy, Lars Kooijman, Darius Nahavandi, Ahmad Abu Alqumsan, Saeid Nahavandi:
Cybersickness Measurement and Evaluation During Flying a Helicopter in Different Weather Conditions in Virtual Reality. SMC 2021: 2152-2157 - [c358]Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems. SMC 2021: 2485-2491 - [c357]Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System. SMC 2021: 2524-2530 - [c356]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. SMC 2021: 2767-2774 - [c355]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, Joseph Winter, Keith Rosario:
A Novel Motion Control Mechanism for Satellite Tracking Antenna Using Fuzzy Logic Control of Serial Robot. SMC 2021: 2787-2793 - [c354]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals. SSCI 2021: 1-6 - [i44]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i43]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i42]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Saeid Nahavandi:
An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works. CoRR abs/2103.03081 (2021) - [i41]Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - [i40]Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi:
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR abs/2104.15007 (2021) - [i39]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR abs/2105.04881 (2021) - [i38]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi:
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR abs/2105.08590 (2021) - [i37]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi:
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR abs/2105.14278 (2021) - [i36]Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
Confidence Aware Neural Networks for Skin Cancer Detection. CoRR abs/2107.09118 (2021) - [i35]Maryam Habibpour, Hassan Gharoun, AmirReza Tajally, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products. CoRR abs/2107.11643 (2021) - [i34]Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Miadreza Shafie-Khah, Saeid Nahavandi, João P. S. Catalão:
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning. CoRR abs/2107.13508 (2021) - [i33]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR abs/2108.10709 (2021) - [i32]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. CoRR abs/2109.01120 (2021) - [i31]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi:
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. CoRR abs/2109.05457 (2021) - [i30]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Moloud Abdar, AmirReza Tajally, Abbas Khosravi, Saeid Nahavandi, Henry Leung:
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization. CoRR abs/2110.03260 (2021) - [i29]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. CoRR abs/2110.07097 (2021) - [i28]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface. CoRR abs/2111.12860 (2021) - 2020
- [j170]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
Slack and Excessive Loading Avoidance in n-Tendon Continuum Robots. IEEE Access 8: 138730-138742 (2020) - [j169]Mohammed Hassan Attia, Mohammed Hossny, Hailing Zhou, Saeid Nahavandi, Hamed Asadi, Anousha Yazdabadi:
Realistic hair simulator for skin lesion images: A novel benchemarking tool. Artif. Intell. Medicine 108: 101933 (2020) - [j168]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Seyedali Mirjalili, Mohammad Reza Mahmoudi, Saeid Nahavandi:
Neuroevolution-based autonomous robot navigation: A comparative study. Cogn. Syst. Res. 62: 35-43 (2020) - [j167]Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew, Saeid Nahavandi, Richard Dazeley, Chee Peng Lim:
A multi-objective deep reinforcement learning framework. Eng. Appl. Artif. Intell. 96: 103915 (2020) - [j166]Amin Khatami, Asef Nazari, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging. Expert Syst. Appl. 149: 113196 (2020) - [j165]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Saeid Nahavandi:
Deep imitation learning for autonomous vehicles based on convolutional neural networks. IEEE CAA J. Autom. Sinica 7(1): 82-95 (2020) - [j164]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments. Neurocomputing 386: 317-324 (2020) - [j163]Abel Hailemichael, Syed Moshfeq Salaken, Ali Karimoddini, Abdollah Homaifar, Abbas Khosravi, Saeid Nahavandi:
Developing a computationally effective Interval Type-2 TSK Fuzzy Logic Controller. J. Intell. Fuzzy Syst. 38(2): 1915-1928 (2020) - [j162]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
An Analytical Tension Model for Continuum Robots with n Generally Positioned Tendons. J. Medical Robotics Res. 4(3-4): 1942003:1-1942003:8 (2020) - [j161]Siamak Pedrammehr, Houshyar Asadi, Saeid Nahavandi:
A Study on Vibrations of Hexarot-Based High-G Centrifugal Simulators. Robotica 38(2): 299-316 (2020) - [j160]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A New Gantry-Tau-Based Mechanism Using Spherical Wrist and Model Predictive Control-Based Motion Cueing Algorithm. Robotica 38(8): 1359-1380 (2020) - [j159]Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya:
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20(11): 3032 (2020) - [j158]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
High-Fidelity Hexarot Simulation-Based Motion Platform Using Fuzzy Incremental Controller and Model Predictive Control-Based Motion Cueing Algorithm. IEEE Syst. J. 14(4): 5073-5083 (2020) - [j157]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. 24(13): 10149-10160 (2020) - [j156]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Peng Shi, Roohallah Alizadehsani:
Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Cybern. 50(7): 3243-3253 (2020) - [j155]Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications. IEEE Trans. Cybern. 50(9): 3826-3839 (2020) - [j154]Parham Mohsenzadeh Kebria, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu, Fernando Bello:
Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Fuzzy Syst. 28(10): 2543-2554 (2020) - [j153]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users. IEEE Trans. Intell. Transp. Syst. 21(8): 3398-3408 (2020) - [j152]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
Prepositioning of a Land Vehicle Simulation-Based Motion Platform Using Fuzzy Logic and Neural Network. IEEE Trans. Veh. Technol. 69(10): 10446-10456 (2020) - [j151]Mohammad Reza Chalak Qazani, Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform With Consideration of Joints' Limitations. IEEE Trans. Veh. Technol. 69(11): 12547-12558 (2020) - [c353]Mohammad Reza Chalak Qazani, Seyed Mohammad Jafar Jalali, Houshyar Asadi, Saeid Nahavandi:
Optimising Control and Prediction Horizons of a Model Predictive Control-Based Motion Cueing Algorithm Using Butterfly Optimization Algorithm. CEC 2020: 1-8 - [c352]Mohammad Reza Chalak Qazani, Houshyar Asadi, Tobias Bellmann, Siamak Pedrammehr, Shady M. K. Mohamed, Saeid Nahavandi:
A New Fuzzy Logic Based Adaptive Motion Cueing Algorithm Using Parallel Simulation-Based Motion Platform. FUZZ-IEEE 2020: 1-8 - [c351]Parham M. Kebria, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Fernando Bello:
Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions. ICHMS 2020: 1-6 - [c350]Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi:
Neural Network Training Using a Biogeography-Based Learning Strategy. ICONIP (5) 2020: 147-155 - [c349]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition. ICONIP (3) 2020: 197-207 - [c348]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Darius Nahavandi, Saeid Nahavandi:
Uncertainty Quantification Neural Network from Similarity and Sensitivity. IJCNN 2020: 1-8 - [c347]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations. IJCNN 2020: 1-7 - [c346]Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Thi Nguyen, Saeid Nahavandi, Jerzy Zieba:
Convolutional Neural Network for Medical Image Classification using Wavelet Features. IJCNN 2020: 1-8 - [c345]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images. SMC 2020: 1584-1589 - [c344]Parham M. Kebria, Abbas Khosravi, Ibrahim Hossain, Navid Mohajer, Hussain Mohammed Dipu Kabir, Seyed Mohammad Jafar Jalali, Darius Nahavandi, Syed Moshfeq Salaken, Saeid Nahavandi, Aurelien Lagrandcourt, Navneet Bhasin:
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC 2020: 2907-2912 - [c343]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady M. K. Mohamed:
Learning-based Model Predictive Control for Path Tracking Control of Autonomous Vehicle. SMC 2020: 2913-2918 - [c342]Parham M. Kebria, Darius Nahavandi, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Conor McGinn:
Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays. SMC 2020: 2919-2924 - [c341]Navid Mohajer, Mohammad Rokonuzzaman, Darius Nahavandi, Syed Moshfeq Salaken, Zoran Najdovski, Saeid Nahavandi:
Effects of Road Path Profiles on Autonomous Vehicles' Handling Behaviour. SysCon 2020: 1-6 - [i27]Shiqi Zheng, Peng Shi, Saeid Nahavandi:
Finite time stabilization for nonlinear systems with unstructured uncertainties. CoRR abs/2001.11200 (2020) - [i26]Ngoc Duy Nguyen, Thanh Thi Nguyen, Saeid Nahavandi:
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning. CoRR abs/2002.11882 (2020) - [i25]Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen, Saeid Nahavandi:
Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework. CoRR abs/2002.11883 (2020) - [i24]Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Material Recognition for Automated Progress Monitoring using Deep Learning Methods. CoRR abs/2006.16344 (2020) - [i23]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya:
Epileptic seizure detection using deep learning techniques: A Review. CoRR abs/2007.01276 (2020) - [i22]Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk:
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR abs/2007.01285 (2020) - [i21]Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network with Gradual Input. CoRR abs/2007.03347 (2020) - [i20]Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020) - [i19]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis. CoRR abs/2007.14846 (2020) - [i18]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020) - [i17]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020) - [i16]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan:
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR abs/2012.11840 (2020)
2010 – 2019
- 2019
- [j150]Afsaneh Koohestani, Darius Nahavandi, Houshyar Asadi, Parham M. Kebria, Abbas Khosravi, Roohallah Alizadehsani, Saeid Nahavandi:
A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review. IEEE Access 7: 85755-85770 (2019) - [j149]Afsaneh Koohestani, Moloud Abdar, Abbas Khosravi, Saeid Nahavandi, Mahereh Koohestani:
Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals. IEEE Access 7: 98971-98992 (2019) - [j148]Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya:
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j147]Mohammed Hassan Attia, Mohammed Hossny, Hailing Zhou, Saeid Nahavandi, Hamed Asadi, Anousha Yazdabadi:
Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture. Comput. Methods Programs Biomed. 177: 17-30 (2019) - [j146]Yonghang Tai, Lei Wei, Hailing Zhou, Qiong Li, Xiaoqiao Huang, Junsheng Shi, Saeid Nahavandi:
Machine learning-based haptic-enabled surgical navigation with security awareness. Concurr. Comput. Pract. Exp. 31(19) (2019) - [j145]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Seeded transfer learning for regression problems with deep learning. Expert Syst. Appl. 115: 565-577 (2019) - [j144]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi:
Multi-agent behavioral control system using deep reinforcement learning. Neurocomputing 359: 58-68 (2019) - [j143]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
A scalarization-based dominance evolutionary algorithm for many-objective optimization. Inf. Sci. 474: 236-252 (2019) - [j142]Choo Jun Tan, Siew Chin Neoh, Chee Peng Lim, Samer Hanoun, Wai Peng Wong, Chu Kong Loo, Li Zhang, Saeid Nahavandi:
Application of an evolutionary algorithm-based ensemble model to job-shop scheduling. J. Intell. Manuf. 30(2): 879-890 (2019) - [j141]Tae H. Lee, Chee Peng Lim, Saeid Nahavandi, Rodney G. Roberts:
Observer-Based $\mathcal{H}_{\infty }$ Fault-Tolerant Control for Linear Systems With Sensor and Actuator Faults. IEEE Syst. J. 13(2): 1981-1990 (2019) - [j140]Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi:
A Review of Situation Awareness Assessment Approaches in Aviation Environments. IEEE Syst. J. 13(3): 3590-3603 (2019) - [j139]Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
Multiobjective and Interactive Genetic Algorithms for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. IEEE Trans. Cybern. 49(9): 3471-3481 (2019) - [j138]Parham M. Kebria, Hamid Abdi, Mohsen Moradi Dalvand, Abbas Khosravi, Saeid Nahavandi:
Control Methods for Internet-Based Teleoperation Systems: A Review. IEEE Trans. Hum. Mach. Syst. 49(1): 32-46 (2019) - [j137]Hieu Trinh, Dinh Cong Huong, Saeid Nahavandi:
Observer design for positive fractional-order interconnected time-delay systems. Trans. Inst. Meas. Control 41(2): 378-391 (2019) - [j136]Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Saeid Nahavandi:
Increasing Motion Fidelity in Driving Simulators Using a Fuzzy-Based Washout Filter. IEEE Trans. Intell. Veh. 4(2): 298-308 (2019) - [j135]Lei Wei, Hailing Zhou, Saeid Nahavandi:
Haptically enabled simulation system for firearm shooting training. Virtual Real. 23(3): 217-228 (2019) - [c340]Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi:
Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties. CASE 2019: 1625-1630 - [c339]Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi:
Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties. CASE 2019: 1631-1636 - [c338]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems. CloudCom 2019: 320-325 - [c337]Hussain Mohammed Dipu Kabir, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Probability Density Computation Neural Network for Time Series Data. CloudCom 2019: 341-346 - [c336]Syed Moshfeq Salaken, Saeid Nahavandi, Conor McGinn, Mohammed Hossny, Kevin Kelly, Ahmed Abobakr, Darius Nahavandi, Julie Iskander:
Development of a Cloud-based Computational Framework for an Empathetic Robot. ICCAE 2019: 102-108 - [c335]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi:
NMPC-based Controller for Autonomous Vehicles Considering Handling Performance. ICCMA 2019: 266-270 - [c334]Navid Mohajer, Zoran Najdovski, Saeid Nahavandi:
Design and Development of a Low-Cost High-G Centrifuge System (Cyclone). ICCMA 2019: 305-309 - [c333]Khaled Saleh, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. ICCV Workshops 2019: 3235-3242 - [c332]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A Decoupled Linear Model Predictive Control-based Motion Cueing Algorithm for Simulation-based Motion Platform with Limitted Workspace. ICIT 2019: 35-41 - [c331]Siamak Pedrammehr, Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
Control System Development of a Hexarot-Based High-G Centrifugal Simulator. ICIT 2019: 78-83 - [c330]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Abdollah Homaifar, Mehrdad Saif:
Experimental Comparison Study on Joint and Cartesian Space Control Schemes for a Teleoperation System Under Time-Varying Delay. ICIT 2019: 108-113 - [c329]Siamak Pedrammehr, Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
Kinematic Manipulability Analysis of Hexarot Simulators. ICIT 2019: 133-138 - [c328]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, David Watters, Glenn Guest, Peng Shi:
Robust Adaptive Control of Internet-based Bilateral Teleoperation Systems with Time-Varying Delay and Model Uncertainties. ICIT 2019: 187-192 - [c327]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Suren Krishnan:
Robust Adaptive Synchronisation of a Single-Master Multi-Slave Teleoperation System over Delayed Communication. ICIT 2019: 193-198 - [c326]Siamak Pedrammehr, Houshyar Asadi, Saeid Nahavandi:
The Forced Vibration Analysis of Hexarot Parallel Mechanisms. ICIT 2019: 199-204 - [c325]Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya:
A Cloud Bidding Framework for Deadline Constrained Jobs. ICIT 2019: 765-772 - [c324]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi:
Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. ICIT 2019: 800-805 - [c323]Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Drivers Awareness Evaluation using Physiological Measurement in a Driving Simulator. ICIT 2019: 859-864 - [c322]Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif:
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT 2019: 865-870 - [c321]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya:
Probability Density for Amazon Spot Instance Price. ICIT 2019: 887-892 - [c320]Thanh Nguyen, Ngoc Duy Nguyen, Fernando Bello, Saeid Nahavandi:
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting. ICIT 2019: 1339-1344 - [c319]Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Multi-Agent Deep Reinforcement Learning with Human Strategies. ICIT 2019: 1357-1362 - [c318]Arash Mohammadi, Shady M. K. Mohamed, Houshyar Asadi, Saeid Nahavandi:
Stabilizing Model Predictive Control with Optimized Terminal Sample Weight for Motion Cueing Algorithm. ICIT 2019: 1363-1368 - [c317]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. ICONIP (1) 2019: 596-607 - [c316]Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator. ICONIP (1) 2019: 621-632 - [c315]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. ICRA 2019: 9704-9710 - [c314]Khaled Saleh, Ahmed Abobakr, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Mostafa Hossny, Saeid Nahavandi:
Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles. ITSC 2019: 2020-2026 - [c313]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A Model Predictive Control-Based Motion Cueing Algorithm with Consideration of Joints' limitations for Hexapod Motion Platform. SMC 2019: 708-713 - [c312]Seyed Mohammad Jafar Jalali, Parham M. Kebria, Abbas Khosravi, Khaled Saleh, Darius Nahavandi, Saeid Nahavandi:
Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution. SMC 2019: 1215-1220 - [c311]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Parham M. Kebria, Rachid Hedjam, Saeid Nahavandi:
Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm. SMC 2019: 1221-1226 - [c310]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. SMC 2019: 1234-1238 - [c309]Marwa Ahmed, Khaled Saleh, Ahmed Abobakr, Saeid Nahavandi:
Scenario Generation-Based Training in Simulation: Pilot Study. SMC 2019: 1239-1244 - [c308]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators. SMC 2019: 1245-1250 - [c307]Julie Iskander, Ahmed Abobakr, Mohammed Hassan Attia, Khaled Saleh, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics. SMC 2019: 1844-1848 - [c306]Julie Iskander, Mohammed Hassan Attia, Khaled Saleh, Ahmed Abobakr, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Exploring the Effect of Virtual Depth on Pupil Diameter. SMC 2019: 1849-1854 - [c305]Mohammed Hassan Attia, MennattAllah H. Attia, Julie Iskander, Khaled Saleh, Darius Nahavandi, Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
Fingerprint Synthesis Via Latent Space Representation. SMC 2019: 1855-1861 - [c304]Ahmed Abobakr, Hala Abdelkader, Julie Iskander, Darius Nahavandi, Khaled Saleh, Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi:
SSDPose: A Single Shot Deep Pose Estimation and Analysis. SMC 2019: 1862-1868 - [c303]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi:
Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling. SMC 2019: 2089-2096 - [c302]Mohammed Hassan Attia, Ahmed Abobakr, Lei Wei, Khaled Saleh, Julie Iskander, H. Zhou, Darius Nahavandi, Mostafa Hossny, Saeid Nahavandi:
High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks. SMC 2019: 2391-2396 - [c301]Amin Khatami, Parham M. Kebria, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Asef Nazari, Marjan Shamszadeh, Thanh Nguyen, Saeid Nahavandi:
A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks. SMC 2019: 3492-3497 - [c300]Seyed Mohammad Jafar Jalali, Mina Karimi, Abbas Khosravi, Saeid Nahavandi:
An efficient Neuroevolution Approach for Heart Disease Detection. SMC 2019: 3771-3776 - [c299]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
An Improved Scalarization-based Dominance Evolutionary Algorithm for Many-Objective Optimization. SysCon 2019: 1-5 - [c298]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. SysCon 2019: 1-7 - [i15]Thanh Thi Nguyen, Ngoc Duy Nguyen, Fernando Bello, Saeid Nahavandi:
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting. CoRR abs/1901.03327 (2019) - [i14]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest:
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. CoRR abs/1902.05183 (2019) - [i13]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi, Hamed Asadi:
Realistic Hair Simulation Using Image Blending. CoRR abs/1904.09169 (2019) - [i12]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. CoRR abs/1904.09862 (2019) - [i11]Thanh Thi Nguyen, Cuong M. Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Saeid Nahavandi:
Deep Learning for Deepfakes Creation and Detection. CoRR abs/1909.11573 (2019) - [i10]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal Uncertainty-guided Neural Network Training. CoRR abs/1912.12761 (2019) - 2018
- [j134]Julie Iskander, Mohammed Hossny, Saeid Nahavandi:
A Review on Ocular Biomechanic Models for Assessing Visual Fatigue in Virtual Reality. IEEE Access 6: 19345-19361 (2018) - [j133]Thanh Nguyen, Imali Hettiarachchi, Amin Khatami, Lee Gordon-Brown, Chee Peng Lim, Saeid Nahavandi:
Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System. IEEE Access 6: 27873-27884 (2018) - [j132]Mohsen Moradi Dalvand, Saeid Nahavandi, Michael Fielding, James Mullins, Zoran Najdovski, Robert D. Howe:
Modular Instrument for a Haptically-Enabled Robotic Surgical System (HeroSurg). IEEE Access 6: 31974-31982 (2018) - [j131]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi:
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications. IEEE Access 6: 36218-36234 (2018) - [j130]Yonghang Tai, Lei Wei, Minhui Xiao, Hailing Zhou, Qiong Li, Junsheng Shi, Saeid Nahavandi:
A High-Immersive Medical Training Platform Using Direct Intraoperative Data. IEEE Access 6: 69438-69452 (2018) - [j129]Anisia Jati Sang, Kai Meng Tay, Chee Peng Lim, Saeid Nahavandi:
Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives. IEEE Access 6: 74628-74647 (2018) - [j128]Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Saeid Nahavandi:
Parallel deep solutions for image retrieval from imbalanced medical imaging archives. Appl. Soft Comput. 63: 197-205 (2018) - [j127]Yange Sun, Zhihai Wang, Yang Bai, Honghua Dai, Saeid Nahavandi:
A Classifier Graph Based Recurring Concept Detection and Prediction Approach. Comput. Intell. Neurosci. 2018: 4276291:1-4276291:13 (2018) - [j126]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface. Comput. Intell. Neurosci. 2018: 6323414:1-6323414:12 (2018) - [j125]Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi:
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. 162: 119-127 (2018) - [j124]Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
Optimizing Model Predictive Control horizons using Genetic Algorithm for Motion Cueing Algorithm. Expert Syst. Appl. 92: 73-81 (2018) - [j123]Amin Khatami, Morteza Babaie, Hamid R. Tizhoosh, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval. Expert Syst. Appl. 100: 224-233 (2018) - [j122]Tae H. Lee, Chee Peng Lim, Saeid Nahavandi, Ju H. Park:
Network-based synchronization of T-S fuzzy chaotic systems with asynchronous samplings. J. Frankl. Inst. 355(13): 5736-5758 (2018) - [j121]Houshyar Asadi, Chee Peng Lim, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Shanmugam Lakshmanan:
A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator. J. Syst. Control. Eng. 232(8): 1025-1038 (2018) - [j120]Siamak Pedrammehr, Behzad Danaei, Hamid Abdi, Mehdi Tale Masouleh, Saeid Nahavandi:
Dynamic analysis of Hexarot: axis-symmetric parallel manipulator. Robotica 36(2): 225-240 (2018) - [j119]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks. Sensors 18(6): 1913 (2018) - [j118]Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Gary Carroll:
Task Assignment in Camera Networks: A Reactive Approach for Manufacturing Environments. IEEE Syst. J. 12(1): 173-183 (2018) - [j117]Zhiqiang Cao, Nong Gu, Jile Jiao, Saeid Nahavandi, Chao Zhou, Min Tan:
A Novel Geometric Transportation Approach for Multiple Mobile Manipulators in Unknown Environments. IEEE Syst. J. 12(2): 1447-1455 (2018) - [j116]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
A Skeleton-Free Fall Detection System From Depth Images Using Random Decision Forest. IEEE Syst. J. 12(3): 2994-3005 (2018) - [j115]Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi, Ju H. Park:
Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays. IEEE Trans. Cybern. 48(7): 2036-2048 (2018) - [j114]Hailing Zhou, Lei Wei, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning. IEEE Trans. Geosci. Remote. Sens. 56(12): 7074-7085 (2018) - [j113]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks. IEEE Trans. Intell. Veh. 3(4): 414-424 (2018) - [j112]Shanmugam Lakshmanan, Mani Prakash, Chee Peng Lim, Rajan Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi:
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. 29(1): 195-207 (2018) - [j111]Lei Wei, Hailing Zhou, Saeid Nahavandi:
Haptic Collision Detection on Disjoint Objects with Overlapping and Inclusive Bounding Volumes. IEEE Trans. Haptics 11(1): 73-84 (2018) - [j110]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
An Analytical Loading Model for n-Tendon Continuum Robots. IEEE Trans. Robotics 34(5): 1215-1225 (2018) - [j109]Saba Al-Wais, Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi:
Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2470-2484 (2018) - [c297]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks. Australasian Conference on Artificial Intelligence 2018: 284-295 - [c296]Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi:
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. BMVC 2018: 301 - [c295]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Zoran Najdovski, Stephen John Hilton:
Neural Network Adaptive Control of Teleoperation Systems with Uncertainties and Time-Varying Delay. CASE 2018: 252-257 - [c294]Ahmed Abobakr, Mohammed Hossny, Hala Abdelkader, Saeid Nahavandi:
RGB-D Fall Detection via Deep Residual Convolutional LSTM Networks. DICTA 2018: 1-7 - [c293]Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator. DICTA 2018: 1-6 - [c292]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Long-Term Recurrent Predictive Model for Intent Prediction of Pedestrians via Inverse Reinforcement Learning. DICTA 2018: 1-8 - [c291]Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi, Syed Moshfeq Salaken, Amin Khatami:
A Soft Computing Fusion for River Flow Time Series Forecasting. FUZZ-IEEE 2018: 1-7 - [c290]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi:
Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) 2018: 172-181 - [c289]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface. IJCNN 2018: 1-6 - [c288]Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi:
Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation. IJCNN 2018: 1-6 - [c287]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi:
Partial Adversarial Training for Prediction Interval. IJCNN 2018: 1-6 - [c286]Mohammed Hassan Attia, Imali Hettiarachchi, Mohammed Hossny, Saeid Nahavandi:
A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks. ISBI 2018: 766-769 - [c285]Masoud Abdi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi, Ehsan Abbasnejad, Anton van den Hengel:
Discriminative Clustering of High-Dimensional Data Using Generative Modeling. MWSCAS 2018: 799-802 - [c284]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Calibration Time Reduction Using Subjective Features Selection Based Transfer Learning For Multiclass BCI. SMC 2018: 491-498 - [c283]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Semi-Supervised Transfer Learning with Genetic Algorithm Tuned Transformation and Novel Label Transfer Mechanism. SMC 2018: 906-911 - [c282]Navid Mohajer, Houshyar Asadi, Saeid Nahavandi, Chee Peng Lim:
Evaluation of the Path Tracking Performance of Autonomous Vehicles Using the Universal Motion Simulator. SMC 2018: 2115-2121 - [c281]Mohammed Hassan Attia, Imali Hettiarachchi, Shady M. K. Mohamed, Mohammed Hossny, Saeid Nahavandi:
A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks. SMC 2018: 2134-2139 - [c280]Yonghang Tai, Lei Wei, Hailing Zhou, Jun Peng, Junsheng Shi, Qiong Li, Saeid Nahavandi:
Development of Haptic-Enabled Virtual Reality Simulator for Video-Assisted Thoracoscopic Right Upper Lobectomy. SMC 2018: 3010-3015 - [c279]Hailing Zhou, Lei Wei, Ran Cao, Samer Hanoun, Asim Bhatti, Yonghang Tai, Saeid Nahavandi:
The Study of Using Eye Movements to Control the Laparoscope Under a Haptically-Enabled Laparoscopic Surgery Simulation Environment. SMC 2018: 3022-3026 - [c278]Imali Hettiarachchi, Samer Hanoun, Darius Nahavandi, Julie Iskander, Mohammed Hossny, Saeid Nahavandi:
Towards More Accessible Physiological Data for Assessment of Cognitive Load - A Validation Study. SMC 2018: 3045-3050 - [c277]Julie Iskander, Dawei Jia, Imali Hettiarachchi, Mohammed Hossny, Khaled Saleh, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun:
Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics. SMC 2018: 3480-3485 - [c276]Khaled Saleh, Julie Iskander, Dawei Jia, Mohammed Hossny, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun:
Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks. SMC 2018: 3492-3497 - [c275]Julie Iskander, Mohammed Hossny, Saeid Nahavandi:
Biomechanical Analysis of Eye Movement in Virtual Environments: A Validation Study. SMC 2018: 3498-3503 - [c274]Khaled Saleh, Ramy A. Zeineldin, Mohammed Hossny, Saeid Nahavandi, Nawal A. El-Fishawy:
End-to-End Indoor Navigation Assistance for the Visually Impaired Using Monocular Camera. SMC 2018: 3504-3510 - [c273]Ngoc Duy Nguyen, Saeid Nahavandi, Thanh Nguyen:
A Human Mixed Strategy Approach to Deep Reinforcement Learning. SMC 2018: 4023-4028 - [c272]Khaled Saleh, Mohammed Hassan Attia, Mohammed Hossny, Samer Hanoun, Syed Moshfeq Salaken, Saeid Nahavandi:
Local Motion Planning for Ground Mobile Robots via Deep Imitation Learning. SMC 2018: 4077-4082 - [c271]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Mohsen Moradi Dalvand, Hamed Asadi:
Towards Trusted Autonomous Surgical Robots. SMC 2018: 4083-4088 - [c270]Samer Hanoun, Saeid Nahavandi:
Current and future methodologies of after action review in simulation-based training. SysCon 2018: 1-6 - [c269]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
Multi-objective job shop scheduling using i-NSGA-III. SysCon 2018: 1-5 - [i9]Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi:
A Review of Situation Awareness Assessment Approaches in Aviation Environments. CoRR abs/1803.08067 (2018) - [i8]Ngoc Duy Nguyen, Saeid Nahavandi, Thanh Thi Nguyen:
A Human Mixed Strategy Approach to Deep Reinforcement Learning. CoRR abs/1804.01874 (2018) - [i7]Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Multi-Agent Deep Reinforcement Learning with Human Strategies. CoRR abs/1806.04562 (2018) - [i6]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. CoRR abs/1806.09152 (2018) - [i5]Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi:
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. CoRR abs/1807.05380 (2018) - [i4]Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications. CoRR abs/1812.11794 (2018) - 2017
- [j108]Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi:
System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey. IEEE Access 5: 27091-27102 (2017) - [j107]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Abbas Khosravi, Pouran Layegh, Saeid Nahavandi:
An expert system for selecting wart treatment method. Comput. Biol. Medicine 81: 167-175 (2017) - [j106]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Output uncertainty score for decision making processes using interval type-2 fuzzy systems. Eng. Appl. Artif. Intell. 65: 159-167 (2017) - [j105]Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A new PSO-based approach to fire flame detection using K-Medoids clustering. Expert Syst. Appl. 68: 69-80 (2017) - [j104]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Influence of meta-heuristic optimization on the performance of adaptive interval type2-fuzzy traffic signal controllers. Expert Syst. Appl. 71: 493-503 (2017) - [j103]Amin Khatami, Abbas Khosravi, Thanh Nguyen, Chee Peng Lim, Saeid Nahavandi:
Medical image analysis using wavelet transform and deep belief networks. Expert Syst. Appl. 86: 190-198 (2017) - [j102]Shanmugam Lakshmanan, Chee Peng Lim, Mani Prakash, Saeid Nahavandi, Pagavathigounder Balasubramaniam:
Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach. Neurocomputing 230: 243-250 (2017) - [j101]Shady M. K. Mohamed, Sherif Haggag, Saeid Nahavandi, Omar Haggag:
Towards automated quality assessment measure for EEG signals. Neurocomputing 237: 281-290 (2017) - [j100]Rakesh Veerabhadrappa, Asim Bhatti, Michael Berk, Susannah J. Tye, Saeid Nahavandi:
Hierarchical estimation of neural activity through explicit identification of temporally synchronous spikes. Neurocomputing 249: 299-313 (2017) - [j99]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Extreme learning machine based transfer learning algorithms: A survey. Neurocomputing 267: 516-524 (2017) - [j98]Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi, Mehrdad Saif:
Functional observer design for retarded system with interval time-varying delays. Int. J. Syst. Sci. 48(5): 1060-1070 (2017) - [j97]Reza Mohajerpoor, Shanmugam Lakshmanan, Hamid Abdi, Rajan Rakkiyappan, Saeid Nahavandi, Ju H. Park:
Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances. J. Frankl. Inst. 354(2): 1169-1194 (2017) - [j96]Ahmad Hany Hossny, Douglas C. Creighton, Saeid Nahavandi:
Reducing the Impact of Bounded Parametric Uncertainty on Hodgson's Scheduling Algorithm Using Interval Programming. IEEE Syst. J. 11(4): 1983-1993 (2017) - [j95]Jile Jiao, Zhiqiang Cao, Nong Gu, Saeid Nahavandi, Yuequan Yang, Min Tan:
Transportation by Multiple Mobile Manipulators in Unknown Environments With Obstacles. IEEE Syst. J. 11(4): 2894-2904 (2017) - [j94]Hieu Trinh, Dinh Cong Huong, Le Van Hien, Saeid Nahavandi:
Design of Reduced-Order Positive Linear Functional Observers for Positive Time-Delay Systems. IEEE Trans. Circuits Syst. II Express Briefs 64-II(5): 555-559 (2017) - [j93]Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi:
Reactive Power Compensation in Electric Arc Furnaces Using Prediction Intervals. IEEE Trans. Ind. Electron. 64(7): 5295-5304 (2017) - [j92]Hailing Zhou, Hui Kong, Lei Wei, Douglas C. Creighton, Saeid Nahavandi:
On Detecting Road Regions in a Single UAV Image. IEEE Trans. Intell. Transp. Syst. 18(7): 1713-1722 (2017) - [j91]Shanmugam Lakshmanan, Chee Peng Lim, Saeid Nahavandi, Mani Prakash, P. Balasubramaniam:
Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1953-1958 (2017) - [j90]Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 47(2): 238-254 (2017) - [c268]Saba Al-Wais, Tae H. Lee, Shanmugam Lakshmanan, Hamid Abdi, Saeid Nahavandi:
H∞ based state feedback robust controller for nonlinear tele-operation system with variable time-delays. ASCC 2017: 600-605 - [c267]Mohammad Anwar Hosen, Saeid Nahavandi, Abbas Khosravi, Peng Shi, Lachlan Sinnott:
Prediction interval-based controller for Chemical Reactor. CCECE 2017: 1-4 - [c266]Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi:
Weighted informative inverse active class selection for motor imagery brain computer interface. CCECE 2017: 1-5 - [c265]Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Saeid Nahavandi, Abbas Khosravi:
Prediction interval with examples of similar pattern and prediction strength. CCECE 2017: 1-4 - [c264]Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken, Saeid Nahavandi:
A deep-structural medical image classification for a Radon-based image retrieval. CCECE 2017: 1-4 - [c263]Syed Moshfeq Salaken, Abbas Khosravi, Amin Khatami, Saeid Nahavandi, Mohammad Anwar Hosen:
Lung cancer classification using deep learned features on low population dataset. CCECE 2017: 1-5 - [c262]Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi:
Facial emotion recognition using emotional neural network and hybrid of fuzzy c-means and genetic algorithm. FUZZ-IEEE 2017: 1-6 - [c261]Thanh Nguyen, Imali Hettiarachchi, Abbas Khosravi, Syed Moshfeq Salaken, Asim Bhatti, Saeid Nahavandi:
Multiclass EEG data classification using fuzzy systems. FUZZ-IEEE 2017: 1-6 - [c260]A. A. Rezaei, R. Mohammadifar, Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi:
A heterogeneous defense method using fuzzy decision making. FUZZ-IEEE 2017: 1-8 - [c259]Navid Mohajer, Hamid Abdi, Kyle Nelson, Saeid Nahavandi:
On the simulation-based objective estimation of road vehicle ride comfort. ICM 2017: 159-165 - [c258]Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi:
A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features. ICONIP (4) 2017: 307-316 - [c257]Amin Khatami, Yonghang Tai, Abbas Khosravi, Lei Wei, Mohsen Moradi Dalvand, Min Zou, Saeid Nahavandi:
A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment. ICONIP (4) 2017: 317-325 - [c256]Amin Khatami, Yonghang Tai, Abbas Khosravi, Lei Wei, Mohsen Moradi Dalvand, Jun Peng, Saeid Nahavandi:
A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data. ICONIP (5) 2017: 810-818 - [c255]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi:
Skin melanoma segmentation using recurrent and convolutional neural networks. ISBI 2017: 292-296 - [c254]Khaled Saleh, Mohammed Hossny, Ahmed Hossny, Saeid Nahavandi:
Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images. ITSC 2017: 1-6 - [c253]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Intent prediction of vulnerable road users from motion trajectories using stacked LSTM network. ITSC 2017: 327-332 - [c252]Zihao Wang, Saina Ramyar, Syed Moshfeq Salaken, Abdollah Homaifar, Saeid Nahavandi, Ali Karimoddini:
A collision avoidance system with fuzzy danger level detection. Intelligent Vehicles Symposium 2017: 283-288 - [c251]Saina Ramyar, Abdollah Homaifar, Syed Moshfeq Salaken, Saeid Nahavandi, Arda Kurt:
A personalized highway driving assistance system. Intelligent Vehicles Symposium 2017: 1596-1601 - [c250]Ibrahim Hossain, Abbas Khosravi, Imali Thanuja Hettiarachchi, Saeid Nahavandi:
Informative instance transfer learning with subject specific frequency responses for motor imagery brain computer interface. SMC 2017: 252-257 - [c249]Khaled Saleh, Ramy A. Zeineldin, Mohammed Hossny, Saeid Nahavandi, Nawal A. El-Fishawy:
Navigational path detection for the visually impaired using fully convolutional networks. SMC 2017: 1399-1404 - [c248]Omid F. Nadjarbashi, Zoran Najdovski, Saeid Nahavandi:
Event-driven data transmission in variable-delay network. SMC 2017: 1681-1686 - [c247]Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
Openga, a C++ genetic algorithm library. SMC 2017: 2051-2056 - [c246]James Zhang, Samer Hanoun, Burhan Khan, Douglas C. Creighton, Saeid Nahavandi, Kellie Britt, Karen D'Souza, Jon Watson, Richard Yanieri:
Cohort analysis of simulation-based medical training for decision support. SMC 2017: 2608-2612 - [c245]Ahmed Abobakr, Darius Nahavandi, Julie Iskander, Mohammed Hossny, Saeid Nahavandi, Marty Smets:
RGB-D human posture analysis for ergonomie studies using deep convolutional neural network. SMC 2017: 2885-2890 - [c244]Siamak Pedrammehr, Zoran Najdovski, Hamid Abdi, Saeid Nahavandi:
Design methodology for a hexarot-based centrifugal high-G simulator. SMC 2017: 3255-3260 - [c243]Hailing Zhou, Lei Wei, Michael Fielding, Douglas C. Creighton, Sameer Deshpande, Saeid Nahavandi:
Car park occupancy analysis using UAV images. SMC 2017: 3261-3265 - [c242]Julie Iskander, Mohammed Hossny, Saeid Nahavandi:
Simulating eye-head coordination during smooth pursuit using an ocular biomechanic model. SMC 2017: 3356-3361 - [c241]Yonghang Tai, Lei Wei, Hailing Zhou, Saeid Nahavandi, Junsheng Shi, Qiong Li, Feiyan Li:
A novel framework for visuo-haptic percutaneous therapy simulation based on patient-specific clinical trials. SMC 2017: 3362-3366 - [c240]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Early intent prediction of vulnerable road users from visual attributes using multi-task learning network. SMC 2017: 3367-3372 - [c239]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Hamed Asadi:
Surgical tool segmentation using a hybrid deep CNN-RNN auto encoder-decoder. SMC 2017: 3373-3378 - [c238]Samer Hanoun, James Zhang, Vu Le, Burhan Khan, Michael Johnstone, Michael Fielding, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications. SysCon 2017: 1-6 - [c237]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
A new decomposition-based evolutionary framework for many-objective optimization. SysCon 2017: 1-7 - [c236]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Towards trusted autonomous vehicles from vulnerable road users perspective. SysCon 2017: 1-7 - [i3]Mohammed Hassan Attia, Mustafa Hossny, Saeid Nahavandi, Anousha Yazdabadi:
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques. CoRR abs/1702.07963 (2017) - 2016
- [j89]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi:
Modification on enhanced Karnik-Mendel algorithm. Expert Syst. Appl. 65: 283-291 (2016) - [j88]Tianrui Zong, Yong Xiang, Suzan Elbadry, Saeid Nahavandi:
Modified moment-based image watermarking method robust to cropping attack. Int. J. Autom. Comput. 13(3): 259-267 (2016) - [j87]Reza Mohajerpoor, Hamid Abdi, Shanmugam Lakshmanan, Saeid Nahavandi:
Partial state estimation of LTI systems with multiple constant time-delays. J. Frankl. Inst. 353(2): 541-560 (2016) - [j86]Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Celeste Gloria Esparza:
Target coverage in camera networks for manufacturing workplaces. J. Intell. Manuf. 27(6): 1221-1235 (2016) - [j85]Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan, Saeid Nahavandi:
Coronary artery disease detection using computational intelligence methods. Knowl. Based Syst. 109: 187-197 (2016) - [j84]Thanh Nguyen, Saeid Nahavandi:
Modified AHP for Gene Selection and Cancer Classification Using Type-2 Fuzzy Logic. IEEE Trans. Fuzzy Syst. 24(2): 273-287 (2016) - [j83]Zhiqiang Cao, Xilong Liu, Nong Gu, Saeid Nahavandi, De Xu, Chao Zhou, Min Tan:
A Fast Orientation Estimation Approach of Natural Images. IEEE Trans. Syst. Man Cybern. Syst. 46(11): 1589-1597 (2016) - [c235]Saba Al-Wais, Shibly A. Al-Samarraie, Hamid Abdi, Saeid Nahavandi:
Integral Sliding Mode Controller for Trajectory Tracking of a Phantom Omni Robot. CRC 2016: 6-12 - [c234]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural Network. DICTA 2016: 1-7 - [c233]Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi:
Prediction granules for uncertainty modelling. FUZZ-IEEE 2016: 961-968 - [c232]Amin Khatami, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A Wavelet Deep Belief Network-Based Classifier for Medical Images. ICONIP (3) 2016: 467-474 - [c231]N. Lotfi, Ehsan Lotfi, R. Mirzaei, Abbas Khosravi, Saeid Nahavandi:
Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design. IJCNN 2016: 826-831 - [c230]Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi:
Active transfer learning and selective instance transfer with active learning for motor imagery based BCI. IJCNN 2016: 4048-4055 - [c229]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Lachlan Sinnott:
Prediction interval-based ANFIS controller for nonlinear processes. IJCNN 2016: 4901-4907 - [c228]Thanh Nguyen, Saeid Nahavandi, Douglas C. Creighton, Abbas Khosravi:
RNA-seq data analysis using nonparametric Gaussian process models. IJCNN 2016: 5087-5093 - [c227]Nicholas de Boer, Hamid Abdi, Michael Fielding, Saeid Nahavandi, Laxmidhar Behera:
Simulation of generic body weight support systems effects for assisted walking. REHAB 2016: 49-52 - [c226]Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi:
A new approach to functional observer design for linear time-delay systems. SMC 2016: 143-148 - [c225]Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
MPC-based motion cueing algorithm with short prediction horizon using exponential weighting. SMC 2016: 521-526 - [c224]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
High speed vision-based 3D reconstruction of continuum robots. SMC 2016: 618-623 - [c223]Mohamed Hassan, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi:
Skin lesion segmentation using Gray Level Co-occurance Matrix. SMC 2016: 820-825 - [c222]Hussein Haggag, Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
Semantic body parts segmentation for quadrupedal animals. SMC 2016: 855-860 - [c221]Hussein Haggag, Mohammed Hossny, Saeid Nahavandi, Omar Haggag:
An adaptable system for RGB-D based human body detection and pose estimation: Incorporating attached props. SMC 2016: 1544-1549 - [c220]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Chee Peng Lim, Amin Khatami, Abbas Khosravi, Saeid Nahavandi:
A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity. SMC 2016: 1963-1968 - [c219]Yonghang Tai, Lei Wei, Hailing Zhou, Saeid Nahavandi, Junsheng Shi:
Tissue and force modelling on multi-layered needle puncture for percutaneous surgery training. SMC 2016: 2923-2927 - [c218]Omid F. Nadjarbashi, Zoran Najdovski, Saeid Nahavandi, Shady M. K. Mohamed:
Effect of acceleration and velocity on perceptual force dead-band analysis. SMC 2016: 3008-3014 - [c217]Burhan Khan, Michael Johnstone, Samer Hanoun, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
Improved NSGA-III using neighborhood information and scalarization. SMC 2016: 3033-3038 - [c216]Mostafa Hossny, Shady M. K. Mohamed, Saeid Nahavandi, Kyle Nelson, Mohammed Hossny:
Driving behaviour analysis using topological features. SMC 2016: 3258-3263 - [c215]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
Body joints regression using deep convolutional neural networks. SMC 2016: 3281-3287 - [c214]Parham M. Kebria, Hamid Abdi, Saeid Nahavandi:
Development and evaluation of a symbolic modelling tool for serial manipulators with any number of degrees of freedom. SMC 2016: 4223-4228 - [c213]Parham M. Kebria, Saba Al-Wais, Hamid Abdi, Saeid Nahavandi:
Kinematic and dynamic modelling of UR5 manipulator. SMC 2016: 4229-4234 - [c212]Thanh Nguyen, Saeid Nahavandi:
Modelling RNA-seq read counts by grey relational analysis. SMC 2016: 4293-4298 - [i2]Masoud Abdi, Saeid Nahavandi:
Multi-Residual Networks. CoRR abs/1609.05672 (2016) - 2015
- [j82]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Medical data classification using interval type-2 fuzzy logic system and wavelets. Appl. Soft Comput. 30: 812-822 (2015) - [j81]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Fuzzy system with tabu search learning for classification of motor imagery data. Biomed. Signal Process. Control. 20: 61-70 (2015) - [j80]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Classification of healthcare data using genetic fuzzy logic system and wavelets. Expert Syst. Appl. 42(4): 2184-2197 (2015) - [j79]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems. Expert Syst. Appl. 42(9): 4370-4380 (2015) - [j78]Michael Johnstone, Vu Thanh Le, James Zhang, Bruce Gunn, Saeid Nahavandi, Douglas C. Creighton:
A dynamic time warped clustering technique for discrete event simulation-based system analysis. Expert Syst. Appl. 42(21): 8078-8085 (2015) - [j77]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Approximation of centroid end-points and switch points for replacing type reduction algorithms. Int. J. Approx. Reason. 66: 39-52 (2015) - [j76]Thanh Nguyen, Asim Bhatti, Abbas Khosravi, Sherif Haggag, Douglas C. Creighton, Saeid Nahavandi:
Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes. Neurocomputing 153: 199-210 (2015) - [j75]Thanh Thi Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(5): 735-760 (2015) - [j74]John McCormick, Steph Hutchison, Adam Nash, Kim Vincs, Saeid Nahavandi, Douglas C. Creighton:
Learning to replace a human: A virtual performing agent. Int. J. Virtual Real. 15(1): 18-22 (2015) - [j73]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Hidden Markov models for cancer classification using gene expression profiles. Inf. Sci. 316: 293-307 (2015) - [j72]Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi:
Reduced-order functional observers with application to partial state estimation of linear systems with input-delays. J. Control. Decis. 2(4): 233-256 (2015) - [j71]Jin Wang, Chee Peng Lim, Douglas C. Creighton, Abbas Khosravi, Saeid Nahavandi, Julien Ugon, Peter Vamplew, Andrew Stranieri, Laura Martin, Anton Freischmidt:
Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction. Neural Comput. Appl. 26(2): 277-289 (2015) - [j70]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
EEG data classification using wavelet features selected by Wilcoxon statistics. Neural Comput. Appl. 26(5): 1193-1202 (2015) - [j69]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
A novel aggregate gene selection method for microarray data classification. Pattern Recognit. Lett. 60-61: 16-23 (2015) - [j68]Michael Johnstone, Douglas C. Creighton, Saeid Nahavandi:
Simulation-based baggage handling system merge analysis. Simul. Model. Pract. Theory 53: 45-59 (2015) - [j67]Quan-Zen Ang, Ben Horan, Saeid Nahavandi:
Multipoint Haptic Mediator Interface for Robotic Teleoperation. IEEE Syst. J. 9(1): 86-97 (2015) - [j66]Quan-Zen Ang, Ben Horan, Hamid Abdi, Saeid Nahavandi:
Multipoint Haptic Guidance for Micrograsping Systems. IEEE Syst. J. 9(4): 1388-1395 (2015) - [j65]Thanh Nguyen, Lee Gordon-Brown, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio. IEEE Trans. Fuzzy Syst. 23(3): 656-676 (2015) - [j64]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Improving the Quality of Prediction Intervals Through Optimal Aggregation. IEEE Trans. Ind. Electron. 62(7): 4420-4429 (2015) - [j63]Hailing Zhou, Hui Kong, Lei Wei, Douglas C. Creighton, Saeid Nahavandi:
Efficient Road Detection and Tracking for Unmanned Aerial Vehicle. IEEE Trans. Intell. Transp. Syst. 16(1): 297-309 (2015) - [j62]Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan, Rihanna Khosravi:
Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1810-1815 (2015) - [j61]Xilong Liu, Zhiqiang Cao, Nong Gu, Saeid Nahavandi, Chao Zhou, Min Tan:
Intelligent Line Segment Perception With Cortex-Like Mechanisms. IEEE Trans. Syst. Man Cybern. Syst. 45(12): 1522-1534 (2015) - [c211]Shabnam Nazmi, Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi:
Functional observer design with application to pre-compensated multi-variable systems. CCA 2015: 620-625 - [c210]Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi:
Minimal multi-functional observers for linear systems using a direct approach. CCA 2015: 1266-1271 - [c209]Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi:
On unknown-Input Functional Observability of linear systems. ACC 2015: 3534-3539 - [c208]Hussein Haggag, Mohammed Hossny, Saeid Nahavandi, Sherif Haggag, Douglas C. Creighton:
Body Parts Segmentation with Attached Props Using RGB-D Imaging. DICTA 2015: 1-8 - [c207]Thanh Nguyen, Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton:
Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system. FUZZ-IEEE 2015: 1-8 - [c206]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Effect of different initializations on EKM algorithm. FUZZ-IEEE 2015: 1-6 - [c205]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Linear approximation of Karnik-Mendel type reduction algorithm. FUZZ-IEEE 2015: 1-6 - [c204]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Switch point finding using polynomial regression for fuzzy type reduction algorithms. FUZZ-IEEE 2015: 1-6 - [c203]Sherif Haggag, Shady M. K. Mohamed, Omar Haggag, Saeid Nahavandi:
Prosthetic Motor Imaginary Task Classification Based on EEG Quality Assessment Features. ICONIP (4) 2015: 87-94 - [c202]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Prediction Interval-Based Control of Nonlinear Systems Using Neural Networks. ICONIP (3) 2015: 101-110 - [c201]Esmaeel Eftekharian, Seyed Amin Khatami, Abbas Khosravi, Saeid Nahavandi:
Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data. ICONIP (4) 2015: 128-135 - [c200]Mohammad Anwar Hosen, Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes. ICONIP (3) 2015: 206-213 - [c199]Rakesh Veerabhadrappa, Asim Bhatti, Chee Peng Lim, Thanh Nguyen, Susannah J. Tye, Paul Monaghan, Saeid Nahavandi:
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes. ICONIP (3) 2015: 261-272 - [c198]Shanmugam Lakshmanan, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi:
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. ICONIP (3) 2015: 297-305 - [c197]Imali T. Hettiarachchi, Asim Bhatti, Paul A. Adlard, Saeid Nahavandi:
Multivariate Autoregressive-based Neuronal Network Flow Analysis for In-vitro Recorded Bursts. ICONIP (4) 2015: 324-331 - [c196]Burhan Khan, Asim Bhatti, Michael Johnstone, Samer Hanoun, Douglas C. Creighton, Saeid Nahavandi:
Optimal Feature Subset Selection for Neuron Spike Sorting Using the Genetic Algorithm. ICONIP (2) 2015: 364-370 - [c195]Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi, Delpak Rahim Zadeh:
Human Perception-Based Washout Filtering Using Genetic Algorithm. ICONIP (2) 2015: 401-411 - [c194]Burhan Khan, Julie Gaburro, Samer Hanoun, Jean-Bernard Duchemin, Saeid Nahavandi, Asim Bhatti:
Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis. ICONIP (4) 2015: 548-555 - [c193]Syed Moshfeq Salaken, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi:
Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism. ICONIP (3) 2015: 567-574 - [c192]Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi:
Improving the Quality of Load Forecasts Using Smart Meter Data. ICONIP (4) 2015: 667-674 - [c191]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Syed Moshfeq Salaken:
Prediction interval-based neural network controller for nonlinear processes. IJCNN 2015: 1-6 - [c190]Seyed Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi:
An efficient hybrid algorithm for fire flame detection. IJCNN 2015: 1-6 - [c189]Thanh Thi Nguyen, Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, Imali Hettiarachchi:
EEG signal analysis for BCI application using fuzzy system. IJCNN 2015: 1-8 - [c188]Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi:
Improving load forecast accuracy by clustering consumers using smart meter data. IJCNN 2015: 1-7 - [c187]Mohammed Hossny, Darius Nahavandi, Saeid Nahavandi, V. Haydari, S. Harding:
Musculoskeletal analysis of mining activities. ISSE 2015: 184-189 - [c186]Saeid Nahavandi, James Mullins, Michael Fielding, H. Abdi, Zoran Najdovski:
Countering Improvised Explosive Devices through a multi-point haptic teleoperation system. ISSE 2015: 190-197 - [c185]Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Karsten Ahnert:
CISR-ODE, A C++ Framework with ODE Solver for Code Based System Dynamics Simulation. SMC 2015: 401-406 - [c184]Mostafa Hossny, Saeid Nahavandi:
Image Vusion: Image and Video Fusion. SMC 2015: 425-429 - [c183]Hailing Zhou, Lyndon E. Llewellyn, Lei Wei, Douglas C. Creighton, Saeid Nahavandi:
Marine Object Detection Using Background Modelling and Blob Analysis. SMC 2015: 430-435 - [c182]Lei Wei, Loi Huynh, Hailing Zhou, Saeid Nahavandi:
Immersive Visuo-Haptic Rendering in Optometry Training Simulation. SMC 2015: 436-439 - [c181]Omid F. Nadjarbashi, Hamid Abdi, Saeid Nahavandi:
Applying Inverse Just-Noticeable-Differences of Velocity to Position Data for Haptic Data Reduction. SMC 2015: 440-445 - [c180]Mohammed Hossny, Saeid Nahavandi, Michael Fielding, James Mullins, Shady M. K. Mohamed, Douglas C. Creighton, John McCormick, Kim Vincs, Jordan Beth Vincent, Steph Hutchison:
Haptically-Enabled Dance Visualisation Framework for Deafblind-Folded Audience and Artists. SMC 2015: 446-450 - [c179]Mostafa Hossny, Shady M. K. Mohamed, Saeid Nahavandi:
Driver Behaviour Prediction for Motion Simulators Using Changepoint Segmentation. SMC 2015: 457-462 - [c178]Sherif Haggag, Shady M. K. Mohamed, Hussein Haggag, Saeid Nahavandi:
Prosthetic Motor Imaginary Task Classification Using Single Channel of Electroencephalography. SMC 2015: 969-973 - [c177]Imali T. Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi, Sofia Nahavandi:
Application of Extended Multivariate Modeling for Information Flow Analysis of Event Related Responses. SMC 2015: 1845-1851 - [c176]Hailing Zhou, Dmitry B. Goldgof, Samuel H. Hawkins, Lei Wei, Ying Liu, Douglas C. Creighton, Robert J. Gillies, Lawrence O. Hall, Saeid Nahavandi:
A Robust Approach for Automated Lung Segmentation in Thoracic CT. SMC 2015: 2267-2272 - [c175]Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi:
A New Color Space Based on K-Medoids Clustering for Fire Detection. SMC 2015: 2755-2760 - [c174]Imali T. Hettiarachchi, Thanh Nguyen, Saeid Nahavandi:
Multivariate Adaptive Autoregressive Modeling and Kalman Filtering for Motor Imagery BCI. SMC 2015: 3164-3168 - [c173]Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Noise level classification for EEG using Hidden Markov Models. SoSE 2015: 439-444 - 2014
- [j60]Abbas Khosravi, Saeid Nahavandi:
Effects of type reduction algorithms on forecasting accuracy of IT2FLS models. Appl. Soft Comput. 17: 32-38 (2014) - [j59]Abbas Khosravi, Saeid Nahavandi:
An interval type-2 fuzzy logic system-based method for prediction interval construction. Appl. Soft Comput. 24: 222-231 (2014) - [j58]Dawei Jia, Asim Bhatti, Saeid Nahavandi:
The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems. Behav. Inf. Technol. 33(1): 16-35 (2014) - [j57]Jin Wang, Xiangping Sun, Saeid Nahavandi, Abbas Z. Kouzani, Yuchuan Wu, Mary Fenghua She:
Multichannel biomedical time series clustering via hierarchical probabilistic latent semantic analysis. Comput. Methods Programs Biomed. 117(2): 238-246 (2014) - [j56]Mojdeh Nasir, Chee Peng Lim, Saeid Nahavandi, Douglas C. Creighton:
Inclusion of environmental effects in steering behaviour modelling using fuzzy logic. Expert Syst. Appl. 41(4): 1901-1914 (2014) - [j55]Manjeevan Seera, Chee Peng Lim, Saeid Nahavandi, Chu Kiong Loo:
Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models. Expert Syst. Appl. 41(10): 4891-4903 (2014) - [j54]Mojdeh Nasir, Chee Peng Lim, Saeid Nahavandi, Douglas C. Creighton:
Prediction of pedestrians routes within a built environment in normal conditions. Expert Syst. Appl. 41(10): 4975-4988 (2014) - [j53]Mohsen Moradi Dalvand, Saeid Nahavandi:
Teleoperation of ABB industrial robots. Ind. Robot 41(3): 286-295 (2014) - [j52]Hailing Zhou, Lei Wei, Douglas C. Creighton, Saeid Nahavandi:
Inpainting images with curvilinear structures propagation. Mach. Vis. Appl. 25(8): 2003-2008 (2014) - [j51]Lei Wei, Zoran Najdovski, Saeid Nahavandi, Harrison Weisinger:
Towards a haptically enabled optometry training simulator. Netw. Model. Anal. Health Informatics Bioinform. 3(1) (2014) - [j50]Mojdeh Nasir, Chee Peng Lim, Saeid Nahavandi, Douglas C. Creighton:
A genetic fuzzy system to model pedestrian walking path in a built environment. Simul. Model. Pract. Theory 45: 18-34 (2014) - [j49]Ali Ghanbari, Ben Horan, Saeid Nahavandi, Xiaoqi Chen, Wenhui Wang:
Haptic Microrobotic Cell Injection System. IEEE Syst. J. 8(2): 371-383 (2014) - [j48]Yong Xiang, Iynkaran Natgunanathan, Song Guo, Wanlei Zhou, Saeid Nahavandi:
Patchwork-Based Audio Watermarking Method Robust to De-synchronization Attacks. IEEE ACM Trans. Audio Speech Lang. Process. 22(9): 1413-1423 (2014) - [j47]Hailing Zhou, Ajmal S. Mian, Lei Wei, Douglas C. Creighton, Mohammed Hossny, Saeid Nahavandi:
Recent Advances on Singlemodal and Multimodal Face Recognition: A Survey. IEEE Trans. Hum. Mach. Syst. 44(6): 701-716 (2014) - [j46]Abbas Khosravi, Saeid Nahavandi:
Load Forecasting Using Interval Type-2 Fuzzy Logic Systems: Optimal Type Reduction. IEEE Trans. Ind. Informatics 10(2): 1055-1063 (2014) - [c172]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system. FUZZ-IEEE 2014: 1123-1130 - [c171]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Medical diagnosis by fuzzy standard additive model with wavelets. FUZZ-IEEE 2014: 1937-1944 - [c170]Mats Isaksson, Ben Horan, Saeid Nahavandi:
Low-Cost 5-DOF Haptic Stylus Interaction Using Two Phantom Omni Devices. EuroHaptics (2) 2014: 139-149 - [c169]Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi, Wei Yin Leong:
A delay-dependent functional observer for linear time-invariant systems with input delay. ICARCV 2014: 746-751 - [c168]Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi:
Partial state estimation: A new design approach. ICARCV 2014: 752-757 - [c167]Rihanna Khosravi, Abbas Khosravi, Saeid Nahavandi:
Application of Cuckoo Search for Design Optimization of Heat Exchangers. ICONIP (2) 2014: 178-185 - [c166]Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Sparse Coding for Improved Signal-to-Noise Ratio in MRI. ICONIP (3) 2014: 258-265 - [c165]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi:
Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination. ICONIP (3) 2014: 474-482 - [c164]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Delpak Rahim Zadeh, Saeid Nahavandi:
Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception. ICONIP (3) 2014: 483-492 - [c163]Julie Gaburro, Jean-Bernard Duchemin, Asim Bhatti, Peter Walker, Saeid Nahavandi:
Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects. ICONIP (3) 2014: 493-500 - [c162]Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Neuron's Spikes Noise Level Classification Using Hidden Markov Models. ICONIP (3) 2014: 501-508 - [c161]Hossein Rezaei, Shady M. K. Mohamed, Reza Mahboobi Esfanjani, Saeid Nahavandi:
Improved Robust Kalman Filtering for Uncertain Systems with Missing Measurements. ICONIP (3) 2014: 509-518 - [c160]Imali Hettiarachchi, Thanh Thi Nguyen, Saeid Nahavandi:
Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction. ICONIP (3) 2014: 519-526 - [c159]Luke Nyhof, Imali Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
Adaptive-Multi-Reference Least Means Squares Filter. ICONIP (3) 2014: 527-534 - [c158]Mats Isaksson, Anders P. Eriksson, Saeid Nahavandi:
Analysis of the inverse kinematics problem for 3-DOF axis-symmetric parallel manipulators with parasitic motion. ICRA 2014: 5736-5743 - [c157]Vu Thanh Le, Arthur Filippidis, Chee Peng Lim, Wael Abdelrahman, Saeid Nahavandi:
Mini-Micro Unmanned Aerial Vehicle Intelligence: A Threat to Land Vehicles. IDT/IIMSS/STET 2014: 79-91 - [c156]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Aggregation of Pi-based forecast to enhance prediction accuracy. IJCNN 2014: 778-784 - [c155]Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi:
A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast. IJCNN 2014: 1015-1019 - [c154]Thanh Nguyen, Abbas Khosravi, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Neural signal analysis by landmark-based spectral clustering with estimated number of clusters. IJCNN 2014: 4042-4049 - [c153]Kristan Marlow, Mats Isaksson, Hamid Abdi, Saeid Nahavandi:
Workspace analysis of two similar 3-DOF axis-symmetric parallel manipulators. IROS 2014: 1690-1696 - [c152]Hailing Zhou, Hui Kong, José M. Álvarez, Douglas C. Creighton, Saeid Nahavandi:
Fast road detection and tracking in aerial videos. Intelligent Vehicles Symposium 2014: 712-718 - [c151]John McCormick, Kim Vincs, Saeid Nahavandi, Douglas C. Creighton, Steph Hutchison:
Teaching a Digital Performing Agent: Artificial Neural Network and Hidden Markov Model for recognising and performing dance movement. MOCO 2014: 70 - [c150]Mohsen Moradi Dalvand, Bijan Shirinzadeh, Saeid Nahavandi, Robert D. Howe:
Tissue characterization in medical robotics. RO-MAN 2014: 341-346 - [c149]Fatemeh Karimirad, Sunita Chauhan, Bijan Shirinzadeh, Tom Drummond, Saeid Nahavandi:
Vision-based robot-assisted biological cell micromanipulation. RO-MAN 2014: 347-352 - [c148]Ehsan Lotfi, Abbas Khosravi, M.-R. Akbarzadeh-T., Saeid Nahavandi:
Wind power forecasting using emotional neural networks. SMC 2014: 311-316 - [c147]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Optimal fuzzy traffic signal controller for an isolated intersection. SMC 2014: 435-440 - [c146]Thanh Nguyen, Vincent Lee, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Solving fuzzy programming with a consistent fuzzy number ranking. SMC 2014: 551-556 - [c145]Thanh Nguyen, Abbas Khosravi, Imali Hettiarachchi, Douglas C. Creighton, Saeid Nahavandi:
Classification of neural action potentials using mean shift clustering. SMC 2014: 1247-1252 - [c144]Lei Wei, Zoran Najdovski, Hailing Zhou, Sameer Deshpande, Saeid Nahavandi:
Extending support to customised multi-point haptic devices in CHAI3D. SMC 2014: 1864-1867 - [c143]Hussein Haggag, Mohammed Hossny, Sherif Haggag, Saeid Nahavandi, Douglas C. Creighton:
Safety applications using Kinect technology. SMC 2014: 2164-2169 - [c142]Mohsen Moradi Dalvand, Saeid Nahavandi:
Improvements in teleoperation of industrial robots without low-level access. SMC 2014: 2170-2175 - [c141]Lei Wei, Hailing Zhou, Saeid Nahavandi:
Selective visuo-haptic rendering of heterogeneous objects in "parallel universes". SMC 2014: 2176-2179 - [c140]James Zhang, Samer Hanoun, Douglas C. Creighton, Saeid Nahavandi, Karen D'Souza, Kellie Britt, Richard Yanieri:
Knowledge-based automatic performance evaluation for medical training debriefing. SMC 2014: 2180-2185 - [c139]Rihanna Khosravi, Abbas Khosravi, Saeid Nahavandi:
Assessing performance of genetic and firefly algorithms for optimal design of heat exchangers. SMC 2014: 3296-3301 - [c138]Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Neural spike representation using Cepstrum. SoSE 2014: 97-100 - [c137]Hussein Haggag, Mohammed Hossny, Sherif Haggag, Saeid Nahavandi, Douglas C. Creighton:
Efficacy comparison of clustering systems for limb detection. SoSE 2014: 148-153 - [c136]Sherif Haggag, Shady M. K. Mohamed, Hussein Haggag, Saeid Nahavandi:
Hidden Markov model neurons classification based on Mel-frequency cepstral coefficients. SoSE 2014: 166-170 - [c135]Hussein Haggag, Mohammed Hossny, Sherif Haggag, Jingjing Xiao, Saeid Nahavandi, Douglas C. Creighton:
LGT/VOT tracking performance evaluation of depth images. SoSE 2014: 284-288 - [c134]John McCormick, Adam Nash, Steph Hutchison, Kim Vincs, Saeid Nahavandi, Douglas C. Creighton:
Recognition: combining human interaction and a digital performing agent. VRIC 2014: 19:1-19:5 - 2013
- [j45]Hamid Abdi, Anthony A. Maciejewski, Saeid Nahavandi:
Reliability maps for probabilistic guarantees of task motion for robotic manipulators. Adv. Robotics 27(2): 81-92 (2013) - [j44]Jin Wang, Ping Liu, Mary Fenghua She, Saeid Nahavandi, Abbas Z. Kouzani:
Bag-of-words representation for biomedical time series classification. Biomed. Signal Process. Control. 8(6): 634-644 (2013) - [j43]Liangjun Xie, Nong Gu, Dalong Li, Zhiqiang Cao, Min Tan, Saeid Nahavandi:
Concurrent control chart patterns recognition with singular spectrum analysis and support vector machine. Comput. Ind. Eng. 64(1): 280-289 (2013) - [j42]Jin Wang, Ping Liu, Mary Fenghua She, Saeid Nahavandi, Abbas Z. Kouzani:
Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model. Comput. Methods Programs Biomed. 111(3): 629-641 (2013) - [j41]Jin Wang, Ping Liu, Mary Fenghua She, Abbas Z. Kouzani, Saeid Nahavandi:
Supervised learning probabilistic Latent Semantic Analysis for human motion analysis. Neurocomputing 100: 134-143 (2013) - [j40]Jin Wang, Xiangping Sun, Mary Fenghua She, Abbas Z. Kouzani, Saeid Nahavandi:
Unsupervised mining of long time series based on latent topic model. Neurocomputing 103: 93-103 (2013) - [j39]Hamid Abdi, Saeid Nahavandi, Zoran Najdovski, Anthony A. Maciejewski:
Fault-Tolerant Force in Human and Robot Cooperation. Int. J. Soc. Robotics 5(1): 103-116 (2013) - [j38]Nong Gu, Zhiqiang Cao, Liangjun Xie, Douglas C. Creighton, Min Tan, Saeid Nahavandi:
Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization. J. Intell. Manuf. 24(6): 1241-1252 (2013) - [j37]Vincenzo Piuri, Amir G. Aghdam, Saeid Nahavandi:
Editorial. IEEE Syst. J. 7(1): 2-3 (2013) - [j36]Jin Wang, Mary Fenghua She, Saeid Nahavandi, Abbas Z. Kouzani:
Human Identification From ECG Signals Via Sparse Representation of Local Segments. IEEE Signal Process. Lett. 20(10): 937-940 (2013) - [j35]Dawei Jia, Asim Bhatti, Saeid Nahavandi, Ben Horan:
Human Performance Measures for Interactive Haptic-Audio-Visual Interfaces. IEEE Trans. Haptics 6(1): 46-57 (2013) - [c133]Hailing Zhou, Douglas C. Creighton, Lei Wei, David Yang Gao, Saeid Nahavandi:
Video Driven Traffic Modelling. AIM 2013: 506-511 - [c132]Mohsen Moradi Dalvand, Bijan Shirinzadeh, Saeid Nahavandi:
Inverse kinematics Analysis of 6-RRCRR parallel manipulators. AIM 2013: 644-648 - [c131]Vu Thanh Le, James Zhang, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton:
Dynamic control of skilled and unskilled labour task assignments. AIM 2013: 955-960 - [c130]Lei Wei, Hailing Zhou, Aung K. Soe, Saeid Nahavandi:
Integrating Kinect and haptics for interactive STEM education in local and distributed environments. AIM 2013: 1058-1065 - [c129]Aung K. Soe, Michael Fielding, Saeid Nahavandi:
Lab-on-a-chip turns soft: computer-aided, software-enabled microfluidics design. ASONAM 2013: 968-971 - [c128]Lei Wei, Saeid Nahavandi, Harrison Weisinger:
Optometry training simulation with augmented reality and haptics. ASONAM 2013: 976-977 - [c127]Hao Quan, Dipti Srinivasan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Construction of neural network-based prediction intervals for short-term electrical load forecasting. CIASG 2013: 66-72 - [c126]Imali T. Hettiarachchi, Shady M. K. Mohamed, Luke Nyhof, Saeid Nahavandi:
An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain network. EMBC 2013: 3945-3948 - [c125]Abbas Khosravi, Saeid Nahavandi, Rihanna Khosravi:
Evaluation and comparison of type reduction algorithms from a forecast accuracy perspective. FUZZ-IEEE 2013 - [c124]Abbas Khosravi, Saeid Nahavandi, Rihanna Khosravi:
A new neural network-based type reduction algorithm for interval type-2 fuzzy logic systems. FUZZ-IEEE 2013: 1-6 - [c123]Thanh Nguyen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Neural network and interval type-2 fuzzy system for stock price forecasting. FUZZ-IEEE 2013 - [c122]Carlos Tercero, Zoran Najdovski, Seiichi Ikeda, Saeid Nahavandi, Toshio Fukuda:
Haptic feedback in endovascular tele-surgery simulation through vasculature phantom morphology changes. World Haptics 2013: 359-364 - [c121]Hailing Zhou, Shady M. K. Mohamed, Asim Bhatti, Chee Peng Lim, Nong Gu, Sherif Haggag, Saeid Nahavandi:
Spike Sorting Using Hidden Markov Models. ICONIP (1) 2013: 553-560 - [c120]Hamid Abdi, Anthony A. Maciejewski, Saeid Nahavandi:
A probabilistic approach for measuring the fault tolerance of robotic manipulators. ICRA 2013: 1995-2001 - [c119]Hussein Haggag, Mohammed Hossny, Despina Filippidis, Douglas C. Creighton, Saeid Nahavandi, Vinod Puri:
Measuring depth accuracy in RGBD cameras. ICSPCS 2013: 1-7 - [c118]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Epidemiological dynamics modeling by fusion of soft computing techniques. IJCNN 2013: 1-8 - [c117]Samer Hanoun, Burhan Khan, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton:
An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility. INDIN 2013: 206-211 - [c116]Sara Farag, Wael Abdelrahman, Douglas C. Creighton, Saeid Nahavandi:
Automatic deformation transfer for data-driven haptic rendering. INDIN 2013: 264-269 - [c115]Hamid Abdi, Yu Le, Saeid Nahavandi:
Integration of resident's energy costs in short stay accommodation billing system. ISGT 2013: 1-7 - [c114]Mohammed Hossny, Mustafa Hossny, Saeid Nahavandi:
CARMa: Content augmented reality marker. ISMAR 2013: 1-5 - [c113]Ahmad Hossny, Saeid Nahavandi, Douglas C. Creighton:
Minimizing Impact of Bounded Uncertainty on McNaughton's Scheduling Algorithm via Interval Programming. SMC 2013: 970-976 - [c112]Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi:
Path Planning for CNC Machines Considering Centripetal Acceleration and Jerk. SMC 2013: 1759-1764 - [c111]Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Locally Sparsified Compressive Sensing for Improved MR Image Quality. SMC 2013: 2163-2167 - [c110]Marzieh Asgari, Hamid Abdi, Chee Peng Lim, Saeid Nahavandi:
Formulation and Simulation of a 3D Mechanical Model of Embryos for Microinjection. SMC 2013: 2219-2224 - [c109]Seyed Amin Khatami, Alireza Mirhabibi, Abbas Khosravi, Saeid Nahavandi:
Artificial Neural Network Analysis of Twin Tunnelling-Induced Ground Settlements. SMC 2013: 2492-2497 - [c108]Seyed Amin Khatami, Abbas Khosravi, Saeid Nahavandi:
A New Approach Based on Support Vector Machine for Solving Stochastic Optimization. SMC 2013: 2498-2503 - [c107]Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Nong Gu, Hailing Zhou, Saeid Nahavandi:
Cepstrum Based Unsupervised Spike Classification. SMC 2013: 3716-3720 - [c106]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Control of Polystyrene Batch Reactor Using Fuzzy Logic Controller. SMC 2013: 4516-4521 - [c105]Marwa Hassan, Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton:
Quantifying Heteroskedasticity Using Slope of Local Variances Index. UKSim 2013: 107-111 - [c104]Marwa Hassan, Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton:
Quantifying Heteroskedasticity via Binary Decomposition. UKSim 2013: 112-116 - [c103]Sara Farag, Wael Abdelrahman, Douglas C. Creighton, Saeid Nahavandi:
Extracting 3D Mesh Skeletons Using Antipodal Points Locations. UKSim 2013: 135-139 - [c102]Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton, Asim Bhatti, Marwa Hassan:
Image Fusion Metrics: Evolution in a Nutshell. UKSim 2013: 443-450 - [c101]Hussein Haggag, Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton:
Real Time Ergonomic Assessment for Assembly Operations Using Kinect. UKSim 2013: 495-500 - 2012
- [j34]Gleb Beliakov, Michael Johnstone, Saeid Nahavandi:
Computing of high breakdown regression estimators without sorting on graphics processing units. Computing 94(5): 433-447 (2012) - [j33]Hamid Khayyam, Saeid Nahavandi, Sam Davis:
Adaptive cruise control look-ahead system for energy management of vehicles. Expert Syst. Appl. 39(3): 3874-3885 (2012) - [j32]Hamid Abdi, Saeid Nahavandi:
Well-conditioned configurations of fault-tolerant manipulators. Robotics Auton. Syst. 60(2): 242-251 (2012) - [j31]Hamid Abdi, Saeid Nahavandi, Yakov Frayman, Anthony A. Maciejewski:
Optimal mapping of joint faults into healthy joint velocity space for fault-tolerant redundant manipulators. Robotica 30(4): 635-648 (2012) - [j30]Shady M. K. Mohamed, Saeid Nahavandi:
Robust Finite-Horizon Kalman Filtering for Uncertain Discrete-Time Systems. IEEE Trans. Autom. Control. 57(6): 1548-1552 (2012) - [j29]Lei Wei, Alexei Sourin, Zoran Najdovski, Saeid Nahavandi:
Function-Based Single and Dual Point Haptic Interaction in Cyberworlds. Trans. Comput. Sci. 16: 1-16 (2012) - [c100]Kyle Nelson, Asim Bhatti, Saeid Nahavandi:
Performance Evaluation of Multi-Frame Super-Resolution Algorithms. DICTA 2012: 1-8 - [c99]Chintha Chamalie Handapangoda, Malin Premaratne, Saeid Nahavandi:
A fresh look at the validity of the diffusion approximation for modeling fluorescence spectroscopy in biological tissue. EMBC 2012: 1494-1497 - [c98]Imali T. Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
Identification of nonlinear fMRI models using Auxiliary Particle Filter and kernel smoothing method. EMBC 2012: 4212-4216 - [c97]Samer Hanoun, Saeid Nahavandi, Douglas C. Creighton, Hans Kull:
Solving a multiobjective job shop scheduling problem using Pareto Archived Cuckoo Search. ETFA 2012: 1-8 - [c96]Ahmad Hossny, Saeid Nahavandi, Douglas C. Creighton:
Minimizing bounded uncertainty impact on scheduling with earliest start and due-date constraints via interval computation. ETFA 2012: 1-4 - [c95]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Reihaneh Naghavizadeh:
Prediction interval construction using interval type-2 Fuzzy Logic systems. FUZZ-IEEE 2012: 1-7 - [c94]Mojdeh Nasir, Saeid Nahavandi, Douglas C. Creighton:
Fuzzy simulation of pedestrian walking path considering local environmental stimuli. FUZZ-IEEE 2012: 1-6 - [c93]Mats Isaksson, Torgny Brogardh, Saeid Nahavandi:
A 5-DOF rotation-symmetric parallel manipulator with one unconstrained tool rotation. ICARCV 2012: 1095-1100 - [c92]Kyle Nelson, Asim Bhatti, Saeid Nahavandi:
Super-resolution of a 3-dimensional scene from novel viewpoints. ICARCV 2012: 1380-1385 - [c91]Chintha C. Handapangoda, Malin Premaratne, Saeid Nahavandi:
A Fresh Look at the Validity of Diffusion Equations for Modelling Phosphorescence Imaging of Biological Tissue. ICHIT (1) 2012: 461-468 - [c90]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Reihaneh Naghavizadeh:
Uncertainty quantification for wind farm power generation. IJCNN 2012: 1-6 - [c89]Mohammed Hossny, Saeid Nahavandi:
Measuring the capacity of image fusion. IPTA 2012: 415-420 - [c88]Imali Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
A marginalised Markov Chain Monte Carlo approach for model based analysis of EEG data. ISBI 2012: 1539-1542 - [c87]Vu Thanh Le, James Zhang, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton:
A generalised data analysis approach for baggage handling systems simulation. SMC 2012: 1681-1687 - [c86]Wael Abdelrahman, Lei Wei, James Mullins, Saeid Nahavandi:
Wireless haptic rendering for mobile platforms. SMC 2012: 2213-2217 - [c85]Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Non-uniform sparsity in rapid compressive sensing MRI. SMC 2012: 2253-2258 - [c84]Lei Wei, Zoran Najdovski, Wael Abdelrahman, Saeid Nahavandi, Harrison Weisinger:
Augmented optometry training simulator with multi-point haptics. SMC 2012: 2991-2997 - [c83]Marwa Hassan, Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton:
Heteroskedasticity Variance Index. UKSim 2012: 135-141 - [c82]Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton:
An Evaluation Mechanism for Saliency Functions Used in Localized Image Fusion Quality Metrics. UKSim 2012: 407-415 - [c81]James Zhang, Vu Le, Michael Johnstone, Saeid Nahavandi, Douglas C. Creighton:
Discrete Event Simulation Enabled High Level Emulation of a Distribution Centre. UKSim 2012: 470-475 - [i1]Jin Wang, Ping Liu, Mary Fenghua She, Saeid Nahavandi, Abbas Z. Kouzani:
Bag-of-Words Representation for Biomedical Time Series Classification. CoRR abs/1212.2262 (2012) - 2011
- [j28]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems. IEEE Trans. Fuzzy Syst. 19(5): 983-988 (2011) - [j27]Abbas Khosravi, Ehsan Mazloumi, Saeid Nahavandi, Douglas C. Creighton, J. W. C. van Lint:
Prediction Intervals to Account for Uncertainties in Travel Time Prediction. IEEE Trans. Intell. Transp. Syst. 12(2): 537-547 (2011) - [j26]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya:
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks 22(3): 337-346 (2011) - [j25]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya:
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. IEEE Trans. Neural Networks 22(9): 1341-1356 (2011) - [c80]Quan-Zen Ang, Ben Horan, Zoran Najdovski, Saeid Nahavandi:
Enabling multi-point haptic grasping in virtual environments. 3DUI 2011: 55-58 - [c79]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Short term load forecasting using Interval Type-2 Fuzzy Logic Systems. FUZZ-IEEE 2011: 502-508 - [c78]Hamid Abdi, Saeid Nahavandi, Anthony A. Maciejewski:
Optimal fault-tolerant Jacobian matrix generators for redundant manipulators. ICRA 2011: 4688-4693 - [c77]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Dipti Srinivasan:
Optimizing the quality of bootstrap-based prediction intervals. IJCNN 2011: 3072-3078 - [c76]Dipti Srinivasan, Zhang Guofan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Hybrid neural-evolutionary model for electricity price forecasting. IJCNN 2011: 3164-3169 - [c75]Hamid Abdi, Saeid Nahavandi, Yakov Frayman:
A class of optimal fault tolerant Jacobian for minimal redundant manipulators based on symmetric geometries. SMC 2011: 1532-1537 - [c74]Hamid Abdi, Tim Black, Saeid Nahavandi:
An adjustable force field for multiple robot mission and path planning. SMC 2011: 1950-1955 - [c73]Jin Wang, Ping Liu, Mary Fenghua She, Abbas Z. Kouzani, Saeid Nahavandi:
Human action recognition based on Pyramid Histogram of Oriented Gradients. SMC 2011: 2449-2454 - [c72]Wael Abdelrahman, Sara Farag, Saeid Nahavandi, Douglas C. Creighton:
A comparative study of supervised learning techniques for data-driven haptic simulation. SMC 2011: 2842-2846 - [c71]Hamid Abdi, Marzieh Asgari, Saeid Nahavandi:
Active surface shaping for artificial skins. SMC 2011: 2910-2915 - [c70]Ben Horan, Zoran Najdovski, Tim Black, Saeid Nahavandi, Phillip Crothers:
OzTug mobile robot for manufacturing transportation. SMC 2011: 3554-3560 - [c69]Edward W. Tunstel, Saeid Nahavandi:
Message from the General Chair and general Co-Chair. SMC 2011 - [c68]Quan-Zen Ang, Ben Horan, Zoran Najdovski, Saeid Nahavandi:
Grasping virtual objects with multi-point haptics. VR 2011: 189-190 - 2010
- [j24]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
A prediction interval-based approach to determine optimal structures of neural network metamodels. Expert Syst. Appl. 37(3): 2377-2387 (2010) - [j23]Michael Johnstone, Douglas C. Creighton, Saeid Nahavandi:
Status-based Routing in Baggage Handling Systems: Searching Verses Learning. IEEE Trans. Syst. Man Cybern. Part C 40(2): 189-200 (2010) - [c67]Jin Wang, Mary Fenghua She, Saeid Nahavandi, Abbas Z. Kouzani:
A Review of Vision-Based Gait Recognition Methods for Human Identification. DICTA 2010: 320-327 - [c66]Vu Thanh Le, Saeid Nahavandi:
A haptic training environment for the heart myoblast cell injection procedure. ICARCV 2010: 448-452 - [c65]Ali Ghanbari, Xiaoqi Chen, Wenhui Wang, Ben Horan, Hamid Abdi, Saeid Nahavandi:
Haptic microrobotic intracellular injection assistance using virtual fixtures. ICARCV 2010: 781-786 - [c64]Zhenying Guan, Nong Gu, Weimin Gao, Saeid Nahavandi:
3D hydrodynamic analysis of a biomimetic robot fish. ICARCV 2010: 793-798 - [c63]Asim Bhatti, Saeid Nahavandi, Mohammed Hossny:
Wavelets/multiwavelets bases and correspondence estimation problem: An analytic study. ICARCV 2010: 1725-1730 - [c62]Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton, Asim Bhatti:
Towards autonomous image fusion. ICARCV 2010: 1748-1754 - [c61]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Bruce Gunn:
Predicting amount of saleable products using neural network metamodels of casthouses. ICARCV 2010: 2018-2023 - [c60]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Developing a Robust Prediction Interval Based Criterion for Neural Network Model Selection. ICONIP (2) 2010: 727-734 - [c59]Mats Isaksson, Torgny Brogårdh, Ivan Lundberg, Saeid Nahavandi:
Improving the kinematic performance of the SCARA-Tau PKM. ICRA 2010: 4683-4690 - [c58]Hamid Abdi, Saeid Nahavandi, Mehdi Tale Masouleh:
Minimal force jump within human and assistive robot cooperation. IROS 2010: 2651-2656 - [c57]Saeid Nahavandi, Dawei Jia, Asim Bhatti:
Knowledge Visualization for Engineered Systems. KES (1) 2010: 5-13
2000 – 2009
- 2009
- [c56]Dawei Jia, Asim Bhatti, Chris Mawson, Saeid Nahavandi:
User-Centered Evaluation of a Virtual Environment Training System: Utility of User Perception Measures. HCI (13) 2009: 196-205 - [c55]Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton:
Zero and infinity images in multi-scale image fusion. ICIP 2009: 2181-2184 - [c54]Mohammed Hossny, Saeid Nahavandi:
Image fusion algorithms and metrics duality index. ICIP 2009: 2193-2196 - [c53]Shady M. K. Mohamed, Saeid Nahavandi:
Optimal linear data fusion for systems with missing measurements. ICONS 2009: 182-185 - [c52]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks. ICONIP (2) 2009: 141-149 - [c51]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals. ICONIP (1) 2009: 285-292 - [c50]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Constructing prediction intervals for neural network metamodels of complex systems. IJCNN 2009: 1576-1582 - [c49]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Developing optimal neural network metamodels based on prediction intervals. IJCNN 2009: 1583-1589 - [c48]Dawei Jia, Asim Bhatti, Saeid Nahavandi:
MUSTe method for quantifying virtual environment training system efficacy. OZCHI 2009: 305-308 - [c47]Zoran Najdovski, Saeid Nahavandi:
Characterising a novel interface for event-based haptic grasping. RO-MAN 2009: 992-997 - [c46]Ben Horan, Zoran Najdovski, Saeid Nahavandi:
Multi-point multi-hand haptic teleoperation of a mobile robot. RO-MAN 2009: 1112-1118 - [c45]Abbas Z. Kouzani, Khashayar Khoshmanesh, Saeid Nahavandi, Jagat Kanwar:
A Microfluidic Electroosmotic Mixer and the Effect of Potential and Frequency on its Mixing Efficiency. SMC 2009: 4618-4622 - [c44]Michael Johnstone, Vu Le, Saeid Nahavandi, Douglas C. Creighton:
A Dynamic Architecture for Increased Passenger Queue Model Fidelity. WSC 2009: 3129-3139 - [p1]Samer Hanoun, Saeid Nahavandi:
Intelligent-Based Mobility Models for Data Management in Wireless Sensor Networks. Intelligent Systems for Knowledge Management 2009: 87-106 - 2008
- [j22]Khashayar Khoshmanesh, Abbas Z. Kouzani, Saeid Nahavandi, Sara Baratchi, J. R. Kanwar:
At a glance: Cellular biology for engineers. Comput. Biol. Chem. 32(5): 315-331 (2008) - [j21]Asim Bhatti, Saeid Nahavandi:
Stereo Correspondence Estimation Using Multiwavelets Scale-Space Representation-Based Multiresolution Analysis. Cybern. Syst. 39(6): 641-665 (2008) - [j20]James Zhang, Douglas C. Creighton, Saeid Nahavandi:
Toward a Synergy between Simulation and Knowledge Management for Business Intelligence. Cybern. Syst. 39(7): 770-786 (2008) - [j19]Zhiqiang Cao, Nong Gu, Min Tan, Saeid Nahavandi, Xiaofeng Mao, Zhenying Guan:
Multi-Robot Hunting in Dynamic Environments. Intell. Autom. Soft Comput. 14(1): 61-72 (2008) - [j18]Asim Bhatti, Saeid Nahavandi:
Depth Estimation Using Multiwavelet Analysis Based Stereo Vision Approach. Int. J. Wavelets Multiresolution Inf. Process. 6(3): 481-497 (2008) - [c43]Ben Horan, Zoran Najdovski, Saeid Nahavandi, Edward W. Tunstel:
3D Virtual Haptic Cone for Intuitive Vehicle Motion Control. 3DUI 2008: 67-74 - [c42]Zoran Najdovski, Saeid Nahavandi:
Extending Haptic Device Capability for 3D Virtual Grasping. EuroHaptics 2008: 494-503 - [c41]Saeid Nahavandi:
A Mega Programmable Interactive Robotic Surface (AMPIRS). ICIIS 2008: 1- - [c40]Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton:
Feature-Based Image Fusion Quality Metrics. ICIRA (1) 2008: 469-478 - [c39]Samer Hanoun, Saeid Nahavandi:
Dynamic Route Construction for Mobile Collectors in Wireless Sensor Networks. ICIRA (1) 2008: 824-833 - [c38]Zhenying Guan, Chao Zhou, Zhiqiang Cao, Nong Gu, Min Tan, Saeid Nahavandi:
A 3-D Locomotion Biomimetic Robot Fish with Information Relay. ICIRA (1) 2008: 1135-1144 - [c37]Chao Zhou, Min Tan, Zhiqiang Cao, Shuo Wang, Douglas C. Creighton, Nong Gu, Saeid Nahavandi:
Kinematic modeling of a bio-inspired robotic fish. ICRA 2008: 695-699 - [c36]Samer Hanoun, Douglas C. Creighton, Saeid Nahavandi:
Decentralized mobility models for data collection in wireless sensor networks. ICRA 2008: 1030-1035 - [c35]Samer Hanoun, Saeid Nahavandi:
A practical framework for data collection in wireless sensor networks. SoSE 2008: 1-6 - [c34]Shady M. K. Mohamed, Saeid Nahavandi:
Optimal multisensor data fusion for linear systems with missing measurements. SoSE 2008: 1-4 - [c33]Ben Horan, Zoran Najdovski, Saeid Nahavandi:
3D Virtual Haptic Cone for Intuitive Vehicle Motion Control. VR 2008: 263-264 - 2007
- [j17]Asim Bhatti, Saeid Nahavandi, Yakov Frayman:
3D depth estimation for visual inspection using wavelet transform modulus maxima. Comput. Electr. Eng. 33(1): 48-57 (2007) - [j16]Sameh Refaat, Jacques M. Hervé, Saeid Nahavandi, Hieu Minh Trinh:
Two-mode overconstrained three-DOFs rotational-translational linear-motor-based parallel-kinematics mechanism for machine tool applications. Robotica 25(4): 461-466 (2007) - [j15]Daniel A. DeLaurentis, Charles Dickerson, Michael DiMario, Paul Gartz, Mo M. Jamshidi, Saeid Nahavandi, Andrew P. Sage, Elliot B. Sloane, Donald R. Walker:
A Case for an International Consortium on System-of-Systems Engineering. IEEE Syst. J. 1(1): 68-73 (2007) - [c32]Vu Thanh Le, Douglas C. Creighton, Saeid Nahavandi:
Simulation-based Input Loading Condition Optimisation of Airport Baggage Handling Systems. ITSC 2007: 574-579 - [c31]Jemal H. Abawajy, Saeid Nahavandi, Fahed Al-Nayadi:
Sensor Node Activity Scheduling Approach. MUE 2007: 72-77 - [c30]Ben Horan, Saeid Nahavandi, Douglas C. Creighton, Edward W. Tunstel:
Fuzzy haptic augmentation for telerobotic stair climbing. SMC 2007: 2437-2442 - [c29]Ben Horan, Douglas C. Creighton, Saeid Nahavandi, Mo M. Jamshidi:
Bilateral haptic teleoperation of an articulated track mobile robot. SoSE 2007: 1-8 - [c28]Michael Johnstone, Douglas C. Creighton, Saeid Nahavandi:
Enabling industrial scale simulation/emulation models. WSC 2007: 1028-1034 - 2006
- [j14]Yakov Frayman, Hong Zheng, Saeid Nahavandi:
Machine Vision System for Automatic Inspection of Surface Defects in Aluminum Die Casting. J. Adv. Comput. Intell. Intell. Informatics 10(3): 281-286 (2006) - [j13]M. Imad Khan, Yakov Frayman, Saeid Nahavandi:
Knowledge Extraction from a Mixed Transfer Function Artificial Neural Network. J. Adv. Comput. Intell. Intell. Informatics 10(3): 295-301 (2006) - [j12]Hieu Minh Trinh, Tyrone Lucius Fernando, Saeid Nahavandi:
Partial-State Observers for Nonlinear Systems. IEEE Trans. Autom. Control. 51(11): 1808-1812 (2006) - [c27]Asim Bhatti, Saeid Nahavandi:
Stereo Image Matching Using Wavelet Scale-Space Representation. CGIV 2006: 267-272 - [c26]Bahman Javadi, Jemal H. Abawajy, Mohammad K. Akbari, Saeid Nahavandi:
Analytical Network Modeling of Heterogeneous Large-Scale Cluster Systems. CLUSTER 2006 - [c25]Sameh Refaat, Jacques M. Hervé, Saeid Nahavandi, Hieu Minh Trinh:
High-Precision Five-Axis Machine for High-Speed Material Processing Using Linear Motors and Parallel-Serial Kinematics. ETFA 2006: 501-506 - [c24]Nong Gu, Zhenying Guan, Saeid Nahavandi, Yong Xiang:
A New Blind Signal Separation Algorithm for Instantaneous MIMO System. GLOBECOM 2006 - [c23]Bahman Javadi, Jemal H. Abawajy, Mohammad K. Akbari, Saeid Nahavandi:
Analysis of Interconnection Networks in Heterogeneous Multi-Cluster Systems. ICPP Workshops 2006: 115-122 - 2005
- [j11]Frederick Chee, Andrey V. Savkin, Tyrone Lucius Fernando, Saeid Nahavandi:
Optimal H∞ insulin injection control for blood glucose regulation in diabetic patients. IEEE Trans. Biomed. Eng. 52(10): 1625-1631 (2005) - [c22]Nong Gu, Yong Xiang, Saeid Nahavandi:
A modified CM alorithm for blind equalization of MPSK signals. ISSPA 2005: 291-294 - [c21]Darren J. Price, Saeid Nahavandi, Simon Walsh, Douglas C. Creighton:
Linking discrete event simulation models using HLA. SMC 2005: 696-701 - [c20]Michael Fielding, James Mullins, Saeid Nahavandi, Douglas C. Creighton:
Intelligent Headrest. SMC 2005: 1240-1245 - [c19]James Mullins, Christopher Mawson, Saeid Nahavandi:
Haptic handwriting aid for training and rehabilitation. SMC 2005: 2690-2694 - [c18]David K. Nicholson, Bruce Gunn, Saeid Nahavandi:
A decision support tool for resource allocation in batch manufacturing. SMC 2005: 3018-3023 - 2004
- [j10]Hieu Minh Trinh, Mohammad Aldeen, Saeid Nahavandi:
An observer design procedure for a class of nonlinear time-delay systems. Comput. Electr. Eng. 30(1): 61-71 (2004) - [j9]Yong Xiang, Saeid Nahavandi, Hieu Minh Trinh, Hong Zheng:
A new second-order method for blind signal separation from dynamic mixtures. Comput. Electr. Eng. 30(5): 347-359 (2004) - [j8]Hong Zheng, Jingxin Zhang, Saeid Nahavandi:
Learning to detect texture objects by artificial immune approaches. Future Gener. Comput. Syst. 20(7): 1197-1208 (2004) - [j7]Sameh Refaat, Saeid Nahavandi:
Control Loop for Finding Initital Translator Position of Linear Synchronous Motor. Int. J. Robotics Autom. 19(2) (2004) - 2003
- [j6]Tyrone Lucius Fernando, Hieu Minh Trinh, Saeid Nahavandi:
Lower bounds for stability margin of n-dimensional discrete systems. Comput. Electr. Eng. 29(8): 861-871 (2003) - [c17]Hong Zheng, A. Wong, Saeid Nahavandi:
Hybrid ant colony algorithm for texture classification. IEEE Congress on Evolutionary Computation 2003: 2648-2652 - [c16]Asim Bhatti, Saeid Nahavandi, Hong Zheng:
Image Matching using TI Multi-wavelet Transform. DICTA 2003: 937-946 - 2002
- [j5]Hieu Minh Trinh, Saeid Nahavandi, Tyrone Lucius Fernando:
Constrained pole placement for linear systems using low-order output feedback controllers. Int. J. Syst. Sci. 33(3): 165-173 (2002) - [c15]Bruce Gunn, Saeid Nahavandi:
Practice: why initial conditions are important. WSC 2002: 557-562 - [c14]Arvind Mane, Saeid Nahavandi, Jingxin Zhang:
Simulation applications in the automotive industry: sequencing production on an assembly line using goal chasing and user defined algorithm. WSC 2002: 1269-1273 - [c13]Alex Cave, Saeid Nahavandi, Abbas Z. Kouzani:
Schedule evaluation: simulation optimization for process scheduling through simulated annealing. WSC 2002: 1909-1913 - [c12]Douglas C. Creighton, Saeid Nahavandi:
General methodology 1: optimising discrete event simulation models using a reinforcement learning agent. WSC 2002: 1945-1950 - 2001
- [j4]Saeid Nahavandi:
Advances in Manufacturing Technology - Guest Editorial. Intell. Autom. Soft Comput. 7(1): 1-2 (2001) - [j3]Massoud Bazargan-Cart, Saeid Nahavandi:
The Impact of Cell Formation on Layout Designs in Cellular Manufacturing. Intell. Autom. Soft Comput. 7(1): 13-22 (2001) - [j2]Purnendu Mandal, Saeid Nahavandi:
Design of User Interfaces for Job Shop Environment. Intell. Autom. Soft Comput. 7(1): 75-85 (2001) - [c11]Sameh Refaat, Saeid Nahavandi:
Controlling the relative orientation between the two magnetic fields of a synchronous motor. SMC 2001: 3169-3174 - [c10]Sameh Refaat, Saeid Nahavandi:
Reducing position error of cantilevered loads in motion systems. SMC 2001: 3175-3180 - 2000
- [c9]Hamid R. Abachi, Saeid Nahavandi, Mali Abdollahian:
Productivity Management of Flexible Manufacturing Systems Using Advanced Parallel Computer Architecture. ICSTM 2000 - [c8]Hamid R. Abachi, Saeid Nahavandi, Mali Abdollahian:
Application Of Univariate And Multivariate Process Control Procedures In Industry. ICSTM 2000 - [c7]Lingxue Kong, Peter D. Hodgson, Saeid Nahavandi:
Development of an Intelligent Decision Support System for Metal Forming Industry. ICSTM 2000 - [c6]Saeid Nahavandi, Hamid R. Abachi, Mali Abdollahian:
A Dynamic Decision-Making System for Manufacturing Control. ICSTM 2000 - [c5]Abbas Z. Kouzani, Saeid Nahavandi:
Facial features for identification. SMC 2000: 1372-1377 - [c4]Abbas Z. Kouzani, Saeid Nahavandi, N. Kouzani, Lingxue Kong, Mary F. H. She:
A morphing technique for facial image representation. SMC 2000: 1378-1383 - [c3]Lingxue Kong, Mary Fenghua She, Saeid Nahavandi, Abbas Z. Kouzani:
Die temperature monitoring of high pressure die casting. SMC 2000: 1756-1761
1990 – 1999
- 1996
- [j1]Saeid Nahavandi:
A Control System for Flexible Manufacturing. Intell. Autom. Soft Comput. 2(3): 261-270 (1996) - 1995
- [c2]Saeid Nahavandi:
Intelligent Cooperative Decision-Making for Advanced Manufacturing Systems. ANNES 1995: 318-321 - [c1]Saeid Nahavandi, Paul Solomon:
Application of Fuzzy Logic to Shopfloor Scheduling. ANNES 1995: 365-368
Coauthor Index
[j257] [j256] [j255] [j253] [j252] [j242] [j236] [j235] [c402] [i56] [i53] [i49] [j222] [j221] [j217] [i45] [j199] [j198] [j196] [j195] [j193] [j192] [j183] [j173] [i44] [i43] [i42] [i41] [i40] [i39] [i37] [i32] [i31] [j157] [j156] [i24] [i23] [i22] [i20] [i18] [i16] [j150] [j148] [c324] [c322] [j125] [c290] [j107] [j85]
[j256] [j254] [j249] [j247] [j245] [j244] [c406] [c405] [c404] [c403] [i58] [i57] [j237] [j230] [j229] [j227] [c400] [c399] [c396] [c394] [c392] [i54] [i53] [j218] [j213] [j210] [j208] [j207] [c387] [c384] [c383] [c382] [c381] [c380] [c379] [c378] [c376] [c375] [c373] [i46] [j182] [j178] [j171] [c371] [c367] [c366] [c364] [c362] [c361] [c359] [c355] [j161] [j160] [j158] [j152] [j151] [c353] [c352] [j150] [j139] [j136] [c332] [c331] [c329] [c326] [c322] [c318] [c313] [c308] [j124] [j121] [c282] [j90] [c258] [c247] [c225] [c220] [c195] [c165] [c164]
[j243] [j143] [c299] [j118] [j114] [c269] [j104] [j96] [j92] [c246] [c243] [c238] [c237] [j86] [c228] [c217] [j82] [j81] [j80] [j79] [j78] [j76] [j75] [j74] [j73] [j71] [j70] [j69] [j68] [j65] [j64] [j63] [c208] [c207] [c202] [c200] [c196] [c191] [c189] [c183] [c180] [c176] [j56] [j54] [j52] [j50] [j47] [c172] [c171] [c156] [c154] [c152] [c151] [c147] [c146] [c145] [c143] [c140] [c137] [c135] [c134] [j38] [c133] [c131] [c127] [c123] [c119] [c118] [c117] [c116] [c113] [c106] [c105] [c104] [c103] [c102] [c101] [c97] [c96] [c95] [c94] [c90] [c87] [c83] [c82] [c81] [j28] [j27] [j26] [j25] [c79] [c77] [c76] [c72] [j24] [j23] [c62] [c61] [c60] [c55] [c52] [c51] [c50] [c49] [c44] [j20] [c40] [c37] [c36] [c32] [c30] [c29] [c28] [c21] [c20] [c12]
[j191] [j169] [j164] [j153] [j147] [c336] [c333] [c315] [c310] [c307] [c306] [c305] [c304] [i13] [i12] [j134] [j119] [j116] [j113] [c297] [c294] [c292] [c286] [c281] [c278] [c277] [c276] [c275] [c274] [c272] [c271] [i6] [c255] [c254] [c253] [c249] [c245] [c242] [c240] [c239] [c236] [c234] [c223] [c222] [c221] [c216] [c215] [c208] [c187] [c180] [j47] [c143] [c137] [c135] [c119] [c114] [c105] [c104] [c102] [c101] [c89] [c83] [c82] [c63] [c62] [c55] [c54] [c40]
Parham M. Kebria
aka: Parham Mohsenzadeh Kebria
aka: Parham Mohsenzadeh Kebria
Seyed Amin Khatami
aka: Amin Khatami
aka: Amin Khatami
[j257] [j256] [j248] [j246] [j242] [j241] [j240] [j239] [j238] [j236] [j235] [j234] [j233] [j231] [j229] [c402] [i55] [i53] [i52] [j224] [j223] [j221] [j220] [j217] [j216] [j212] [j206] [c386] [c378] [c377] [i48] [i47] [i46] [j201] [j200] [j199] [j198] [j197] [j195] [j194] [j193] [j190] [j189] [j188] [j186] [j184] [j177] [j176] [j175] [j174] [j173] [c370] [c361] [c358] [c357] [c356] [c354] [i44] [i43] [i41] [i40] [i38] [i37] [i36] [i35] [i34] [i33] [i31] [i30] [i29] [i28] [j168] [j166] [j165] [j163] [j159] [j157] [j156] [j154] [c351] [c350] [c349] [c348] [c347] [c345] [c344] [c342] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j150] [j149] [j148] [j145] [j138] [c340] [c339] [c338] [c337] [c330] [c328] [c327] [c325] [c324] [c323] [c322] [c321] [c317] [c316] [c312] [c311] [c308] [c303] [c301] [c300] [i10] [j131] [j128] [j126] [j125] [j123] [c295] [c293] [c290] [c289] [c288] [c287] [c284] [c283] [j107] [j106] [j105] [j104] [j103] [j99] [j93] [c267] [c266] [c265] [c264] [c263] [c262] [c261] [c260] [c258] [c257] [c256] [c250] [j89] [j85] [c233] [c232] [c231] [c230] [c229] [c228] [c220] [j82] [j81] [j80] [j79] [j77] [j76] [j75] [j73] [j71] [j70] [j69] [j65] [j64] [j62] [c207] [c206] [c205] [c204] [c202] [c201] [c200] [c193] [c192] [c191] [c190] [c189] [c188] [c175] [j60] [j59] [j46] [c172] [c171] [c167] [c156] [c155] [c154] [c148] [c147] [c146] [c145] [c139] [c127] [c125] [c124] [c123] [c118] [c112] [c109] [c108] [c106] [c95] [c90] [j28] [j27] [j26] [j25] [c79] [c77] [c76] [j24] [c61] [c60] [c52] [c51] [c50] [c49]
[j254] [j252] [j247] [c403] [i58] [i57] [j243] [j237] [j230] [j229] [j227] [c399] [c392] [i49] [j218] [j213] [j210] [j209] [j208] [c382] [c379] [c376] [c375] [c373] [j178] [c371] [c369] [c368] [c367] [c362] [c361] [j167] [j166] [j151] [j143] [j142] [j141] [j140] [j136] [c317] [c308] [c299] [j133] [j129] [j122] [j121] [j114] [j112] [c296] [c285] [c282] [c269] [i9] [i5] [j105] [j103] [j102] [j91] [j90] [c258] [c237] [c232] [c220] [c217] [j71] [c199] [c198] [j56] [j55] [j54] [j50] [c157] [c121] [c110]
[j256] [j245] [j244] [c406] [c405] [j230] [j229] [j227] [c400] [c394] [i54] [j226] [j218] [j213] [j210] [j208] [c387] [c384] [c383] [c382] [c381] [c380] [c378] [c373] [i46] [i45] [j202] [j178] [c371] [c367] [c366] [c365] [c364] [c363] [c362] [c361] [c359] [c355] [j152] [j151] [c352] [c343] [j139] [j136] [c318] [c308] [j124] [j121] [c285] [c281] [j101] [j90] [c247] [c225] [c220] [c218] [c216] [c203] [c195] [c185] [c180] [c179] [c178] [c177] [c173] [c166] [c165] [c164] [c162] [c161] [c159] [c138] [c136] [c126] [c121] [c111] [c107] [j30] [c98] [c88] [c85] [c53] [c34]
[j243] [j219] [j185] [j167] [j155] [c346] [i26] [i25] [j145] [j144] [j140] [c320] [c319] [c301] [c298] [i15] [i14] [i11] [j133] [j123] [c291] [c283] [c273] [i9] [i8] [i7] [i4] [j108] [j106] [j103] [j99] [c261] [j84] [c228] [c212] [j82] [j81] [j80] [j79] [j76] [j75] [j73] [j70] [j69] [j65] [c207] [c199] [c189] [c174] [c172] [c171] [c160] [c154] [c146] [c145] [c123] [c118]
[j256] [j254] [j249] [j247] [c406] [c405] [c404] [i58] [i57] [j230] [j227] [c394] [c392] [i53] [j218] [j213] [j210] [j208] [j207] [c384] [c383] [c382] [c379] [c378] [c376] [c375] [c373] [i46] [j182] [j178] [j171] [c371] [c367] [c366] [c362] [c361] [c355] [j160] [j158] [j152] [j151] [c353] [c352] [c332] [c331] [c329] [c313] [c308]
Mary Fenghua She
aka: Mary F. H. She
aka: Mary F. H. She
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