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2020 – today
- 2024
[j73]Israa Y. AbuShawish
, Sudipta Modak, Esam Abdel-Raheem, Soliman A. Mahmoud, Abir Jaafar Hussain:
Deep Learning in Automatic Diabetic Retinopathy Detection and Grading Systems: A Comprehensive Survey and Comparison of Methods. IEEE Access 12: 84785-84802 (2024)- [j72]Tarek Khater, Sam Ansari, Abbas Saad Alatrany, Haya Alaskar, Soliman A. Mahmoud, Ayad Turky, Hissam Tawfik, Eqab R. F. Almajali, Abir Hussain:
Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach. IEEE Access 12: 95091-95105 (2024) - [j71]A'Laa Hussein Ali, Ekhlas Khalaf Gbashi, Haya Alaskar, Abir Jaafar Hussain:
A Lightweight Image Encryption Algorithm Based on Secure Key Generation. IEEE Access 12: 95871-95883 (2024) - [j70]Basheera M. Mahmmod, Marwah Abdulrazzaq Naser, Ahlam Hanoon Al-sudani, Muntadher Alsabah, Hala Jassim Mohammed, Haya Alaskar, Fahdah A. Almarshad, Abir Hussain, Sadiq H. Abdulhussain:
Patient Monitoring System Based on Internet of Things: A Review and Related Challenges With Open Research Issues. IEEE Access 12: 132444-132479 (2024) - [j69]Wisam Ali Mahmood, Jumana Waleed, Ayad R. Abbas, Haya Alaskar, May Altulyan, Abir Jaafar Hussain:
Intelligent Gesture-Enhanced Blockchain Voting: A New Era of Secure and Accessible E-Voting. IEEE Access 12: 144055-144068 (2024) - [j68]Hagar Elbatanouny, Natasa Kleanthous, Hayssam Dahrouj, Sundus Alusi, Eqab R. F. Almajali, Soliman A. Mahmoud, Abir Hussain:
Insights into Parkinson's Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis. Sensors 24(12): 3959 (2024) - [c165]Khawla A. Alnajjar, Sara Al Ali, Hawraa Albanna, Hamda Aljasmi, Sara Almaazmi, Sara Alduhoori, Sam Ansari, Abir Hussain, Soliman A. Mahmoud:
Channel Coding Technologies in Next-Generation Wireless Systems. SSD 2024: 27-32 - [c164]Hagar Elbatanouny, Natasa Kleanthous, Sundus Alusi, Soliman A. Mahmoud, Abir Hussain:
Navigating the Freeze: A Machine Learning Approach to Detect Freezing of Gait in Parkinson's Patients. COINS 2024: 1-4 - 2023
- [j67]Dina Shehada, Ayad Turky, Wasiq Khan, Bilal Muhammed Khan, Abir Hussain:
A Lightweight Facial Emotion Recognition System Using Partial Transfer Learning for Visually Impaired People. IEEE Access 11: 36961-36969 (2023) - [j66]Amjed Abbas Ahmed, Mohammad Kamrul Hasan, Mustafa Musa Jaber, Sumaia Mohammed Al-Ghuribi, Dhafar Hamed Abd, Wasiq Khan, Ahmed T. Sadiq, Abir Hussain:
Arabic Text Detection Using Rough Set Theory: Designing a Novel Approach. IEEE Access 11: 68428-68438 (2023) - [j65]Sam Ansari, Khawla A. Alnajjar, Tarek Khater, Soliman A. Mahmoud, Abir Hussain:
A Robust Hybrid Neural Network Architecture for Blind Source Separation of Speech Signals Exploiting Deep Learning. IEEE Access 11: 100414-100437 (2023) - [j64]Lafta R. Al-Khazraji, Ayad R. Abbas, Abeer S. Jamil, Abir Jaafar Hussain:
A Hybrid Artistic Model Using Deepy-Dream Model and Multiple Convolutional Neural Networks Architectures. IEEE Access 11: 101443-101459 (2023) - [j63]Basheera M. Mahmmod, Sadiq H. Abdulhussain, Tomás Suk, Muntadher Alsabah, Abir Hussain:
Accelerated and Improved Stabilization for High Order Moments of Racah Polynomials. IEEE Access 11: 110502-110521 (2023) - [j62]Luke K. Topham, Wasiq Khan, Dhiya Al-Jumeily, Abir Hussain:
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models. ACM Comput. Surv. 55(6): 120:1-120:42 (2023) - [j61]Wasiq Khan, Abir Hussain, Bilal Muhammed Khan, Keeley A. Crockett:
Outdoor mobility aid for people with visual impairment: Obstacle detection and responsive framework for the scene perception during the outdoor mobility of people with visual impairment. Expert Syst. Appl. 228: 120464 (2023) - [j60]Sam Ansari, Abbas Saad Alatrany, Khawla A. Alnajjar, Tarek Khater, Soliman A. Mahmoud, Dhiya Al-Jumeily, Abir Jaafar Hussain:
A survey of artificial intelligence approaches in blind source separation. Neurocomputing 561: 126895 (2023) - [j59]Tarek Khater, Sam Ansari, Soliman A. Mahmoud, Abir Hussain, Hissam Tawfik:
Skin cancer classification using explainable artificial intelligence on pre-extracted image features. Intell. Syst. Appl. 20: 200275 (2023) - [j58]Haya Alaskar, Zohra Sbaï, Wasiq Khan, Abir Hussain, Arwa Alrawais:
Intelligent techniques for deception detection: a survey and critical study. Soft Comput. 27(7): 3581-3600 (2023) - [j57]Abbas Saad Alatrany, Wasiq Khan, Abir Jaafar Hussain, Jamila Mustafina, Dhiya Al-Jumeily:
Transfer Learning for Classification of Alzheimer's Disease Based on Genome Wide Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2700-2711 (2023) - [c163]Ayad Turky, Abir Hussain, Anissa M. Bettayeb, Mohamed Adel Serhani:
Integrating Deep Learning and Ant Colony Optimization for Improved Shortest Route Problem Solving. BDSIC 2023: 45-49 - [c162]Fatima-Ezzahra Zerrad, Eqab R. F. Almajali, Mohamed Taouzari, Abir Jaafar Hussain, Soliman A. Mahmoud:
Fracture Detection Using A Wideband Wearable Monopole Antenna Based on Microwave Imaging. DeSE 2023: 30-34 - [c161]Abbas Saad Alatrany, Abir Hussain, Saad S. J. Alatrany, Jamila Mustafina, Dhiya Al-Jumeily:
Comparison of Machine Learning Algorithms for classification of Late Onset Alzheimer's disease. DeSE 2023: 60-64 - [c160]Muhammad Yaseen Ayub, Abir Hussain, Muhammad Furqan Ul Hassan, Bilal Muhammed Khan, Farman Ali Khan, Dhiya Al-Jumeily, Wasiq Khan:
A non-Restraining Sheep Activity Detection and Surveillance using Deep Machine Learning. DeSE 2023: 66-72 - [c159]Khawla A. Alnajjar, Abdulaziz Altamimi, Khalifa Altamimi, Ahmed Alshehhi, Sam Ansari, Soliman A. Mahmoud, Abir Jaafar Hussain:
Smart Medical Pills Dispenser. DeSE 2023: 79-86 - [c158]Basma Alsaid, Romaissa Berrim, Tracy Sarofil, Sohaib Majzoub, Abir Jaafar Hussain:
Using Electrical Impedance Tomography and Machine Learning for Breast Cancer Detection. DeSE 2023: 128-131 - [c157]Hagar Elbatanouny, Tarek Khater, Sam Ansari, Bilal Muhammed Khan, Wasiq Khan, Eqab R. F. Almajali, Dhiya Al-Jumeily, Abir Hussain:
Unveiling the Reliability of ChatGPT Answers in the Biomedical Realm: An Assessment in the. DeSE 2023: 228-233 - [c156]Abdalla Gad, Bara' Fteiha, Jawaher Alatawi, Mahra Mohammed, Mahra Almansoori, Mohammed Ghazal, Jawad Yousaf, Eqab R. F. Almajali, Abir Jaafar Hussain:
Safer Navigation: The AI-Powered Smart Cane for the Visually Impaired. DeSE 2023: 240-245 - [c155]Omar Alshaltone, Eqab R. F. Almajali, Abir Hussain:
Improved Simulation-Based Circular Microwave Sensor for Water Quality Assessment. DeSE 2023: 288-291 - [c154]Dhafar Hamed Abd, Mohammed Fadhil Mahdi, Mustafa Abdalrassual Jassim, Abir Hussain:
Arabic Fake News Detection using Ensemble Technique. DeSE 2023: 292-297 - [c153]Ammar S. Al-Zubaidi, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Marwah Abdulrazzaq Naser, Abir Hussain:
Low-Distortion MMSE Estimator for Speech Enhancement Based on Hahn Moments. DeSE 2023: 322-327 - [c152]Sam Ansari, Antanios Kaissar, Tarek Khater, Khawla A. Alnajjar, Soliman A. Mahmoud, Abir Hussain:
Optimizing Spectrum Prediction in Cognitive Radio: Genetic Algorithm-Enhanced Neural Networks and Radial Basis Functions. DeSE 2023: 337-343 - [c151]Sandhua M. N, Abir Hussain, Dhiya Al-Jumeily, Basheera M. Mahmmod, Sadiq H. Abdulhussain:
Deep Learning-Based Skin Cancer Identification. DeSE 2023: 404-410 - [c150]Mohammed Mahyoub, Thomas Coombs, Manoj Jayabalan, Jamila Mustafina, Abir Hussain:
Identify Type of Lung Infection from Lung Patients X-RAY Image LIVERAGING Computer Vision. DeSE 2023: 475-480 - [c149]Tarek Khater, Abir Hussain, Soliman A. Mahmoud, Salwa Yasen:
Explainable AI for Breast Cancer Detection: A LIME-Driven Approach. DeSE 2023: 540-545 - [c148]Eng. Layla Dawood Almardoud, Hissam Mouayad Tawfik, Soliman Awad Mahmoud, Abir Jaafar Hussain:
Alzheimer's Disease Classification Based on Demographic Data and Machine Learning. DeSE 2023: 636-641 - [c147]Raghad Al-Shabandar, Ali Jaddoa, A. H. Mohammed, Abir Jaafar Hussain:
Intelligent Measuring for a Customer Satisfaction Level Inspired by Transformation Language Model. DeSE 2023: 706-712 - [c146]Suhaib Salah, Tarek Khater, Eqab R. F. Almajali, Wasiq Khan, Abir Hussain:
Deception Detection Deep Learning Comprehensive system Utilizing Explainable AI. DeSE 2023: 713-720 - [c145]Antanios Kaissar, Sam Ansari, Meshal Albeedan, Soliman A. Mahmoud, Ayad Turky, Wasiq Khan, Dhiya Al-Jumeily, Abir Hussain:
Robot Path Planning Using Swarm Intelligence Algorithms. ICIC (1) 2023: 132-145 - [c144]Amine Essa, Abdullah Zaidan, Suhaib Ziad, Mohamed Elmeligy, Sam Ansari, Haya Alaskar, Soliman A. Mahmoud, Ayad Turky, Wasiq Khan, Dhiya Al-Jumeily, Abir Hussain:
Electrocardiogram Signal Noise Reduction Application Employing Different Adaptive Filtering Algorithms. ICIC (2) 2023: 330-342 - [c143]Raghad Al-Shabandar, Ali Jaddoa, Abir Hussain:
A Risk Model for Assessing Exposure Factors Influence Oil Price Fluctuations. ICIC (5) 2023: 482-492 - [c142]Guilherme Carlos, Karla Figueiredo, Abir Hussain, Marley M. B. R. Vellasco:
SegQNAS: Quantum-inspired Neural Architecture Search applied to Medical Image Semantic Segmentation. IJCNN 2023: 1-8 - [c141]Abdollah Masoud Darya, Ilias Fernini, Marley M. B. R. Vellasco, Abir Hussain:
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods. IJCNN 2023: 1-8 - [c140]Noora Al Roken, Abir Hussain, Ismail Shahin, Ayad Turky, Bilal Muhammed Khan, Wasiq Khan:
Unsupervised Arabic Speech Embedding Model for Speaker Identification. IJCNN 2023: 1-8 - [c139]Sam Ansari, Khawla A. Alnajjar, Soliman A. Mahmoud, Rashid Alabdan, Hamad Alzaabi, Mohammed Alkaabi, Abir Hussain:
Blind Source Separation Based on Genetic Algorithm-Optimized Multiuser Kurtosis. TSP 2023: 164-171 - [c138]Majd Saloumi, Omar Alshaltone, Sam Ansari, Soliman A. Mahmoud, Khawla A. Alnajjar, Eqab R. F. Almajali, Abir Hussain:
Speech Emotion Recognition Using One-Dimensional Convolutional Neural Networks. TSP 2023: 212-216 - [e15]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14086, Springer 2023, ISBN 978-981-99-4754-6 [contents] - [e14]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14087, Springer 2023, ISBN 978-981-99-4741-6 [contents] - [e13]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14088, Springer 2023, ISBN 978-981-99-4748-5 [contents] - [e12]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14089, Springer 2023, ISBN 978-981-99-4751-5 [contents] - [e11]De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14090, Springer 2023, ISBN 978-981-99-4760-7 [contents] - [i7]Abdollah Masoud Darya, Ilias Fernini, Marley M. B. R. Vellasco, Abir Hussain:
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods. CoRR abs/2304.12729 (2023) - [i6]Luke K. Topham, Wasiq Khan, Dhiya Al-Jumeily, Abir Hussain:
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models. CoRR abs/2305.13765 (2023) - 2022
- [j56]Basheera M. Mahmmod, Sadiq H. Abdulhussain, Tomás Suk, Abir Hussain:
Fast Computation of Hahn Polynomials for High Order Moments. IEEE Access 10: 48719-48732 (2022) - [j55]Abbas Saad Alatrany, Abir Jaafar Hussain, Jamila Mustafina, Dhiya Al-Jumeily:
Machine Learning Approaches and Applications in Genome Wide Association Study for Alzheimer's Disease: A Systematic Review. IEEE Access 10: 62831-62847 (2022) - [j54]Luke K. Topham, Wasiq Khan, Dhiya Al-Jumeily, Atif Waraich, Abir Jaafar Hussain:
Gait Identification Using Limb Joint Movement and Deep Machine Learning. IEEE Access 10: 100113-100127 (2022) - [j53]Shatha Ghareeb, Abir Jaafar Hussain, Dhiya Al-Jumeily, Wasiq Khan, Rawaa Al-Jumeily, Thar Baker, Ahmed Al-Shamma'a, Mohammed Khalaf:
Evaluating student levelling based on machine learning model's performance. Discov. Internet Things 2(1) (2022) - [j52]Natasa Kleanthous, Abir Hussain, Wasiq Khan, Jennifer Sneddon, Panos Liatsis:
Deep transfer learning in sheep activity recognition using accelerometer data. Expert Syst. Appl. 207: 117925 (2022) - [j51]Abeer Abdullah Alsadhan, Abir Hussain, Panos Liatsis, Mohammed M. Alani, Hissam Tawfik, Phillip Kendrick, Hulya Francis:
Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks. Trans. Emerg. Telecommun. Technol. 33(3) (2022) - [j50]Mohammed Abduljabbar Ali, Abir Jaafar Hussain, Ahmed T. Sadiq:
Deep Learning Algorithms for Human Fighting Action Recognition. Int. J. Online Biomed. Eng. 18(2) (2022) - [j49]Mohammed Abduljabbar Ali, Abir Jaafar Hussain, Ahmed T. Sadiq:
Human Fall Down Recognition Using Coordinates Key Points Skeleton. Int. J. Online Biomed. Eng. 18(2) (2022) - [j48]Natasa Kleanthous, Abir Jaafar Hussain, Wasiq Khan, Jennifer Sneddon, Ahmed Al-Shamma'a, Panos Liatsis:
A survey of machine learning approaches in animal behaviour. Neurocomputing 491: 442-463 (2022) - [j47]Basheera M. Mahmmod, Sadiq H. Abdulhussain, Marwah Abdulrazzaq Naser, Muntadher Alsabah, Abir Hussain, Dhiya Al-Jumeily:
3D Object Recognition Using Fast Overlapped Block Processing Technique. Sensors 22(23): 9209 (2022) - [c137]Abbas Saad Alatrany, Abir Hussain, Saad S. J. Alatrany, Dhiya Al-Jumaily:
Application of Deep Learning Autoencoders as Features Extractor of Diabetic Foot Ulcer Images. ICIC (3) 2022: 129-140 - [c136]Luke K. Topham, Wasiq Khan, Dhiya Al-Jumeily, Atif Waraich, Abir Hussain:
Gait Identification Using Hip Joint Movement and Deep Machine Learning. ICIC (3) 2022: 220-233 - [c135]Zaid Al-Jumaili, Tarek Bassiouny, Ahmad Alanezi, Wasiq Khan, Dhiya Al-Jumeily, Abir Jaafar Hussain:
Classification of Spoken English Accents Using Deep Learning and Speech Analysis. ICIC (3) 2022: 277-287 - [c134]Abir Hussain:
Data Science and Industrial Applications. IJCCI 2022: 5 - [c133]Wasiq Khan, Bilal Muhammed Khan, Luke K. Topham, Salwa Yasen, Ahmed Al-Dahiri, Hoshang Kolivand, Marley M. B. R. Vellasco, Abir Hussain:
Acceptance and Perception of Covid-19 Vaccination for Children. IJCNN 2022: 1-6 - [e10]De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13393, Springer 2022, ISBN 978-3-031-13869-0 [contents] - [e9]De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13394, Springer 2022, ISBN 978-3-031-13828-7 [contents] - [e8]De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Methodologies - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13395, Springer 2022, ISBN 978-3-031-13831-7 [contents] - [d1]Luke K. Topham, Wasiq Khan, Dhiya Al-Jumeily, Atif Waraich, Abir Hussain:
Limb Joint Movement Gait Dataset from IMU sensor. IEEE DataPort, 2022
- 2021
- [j46]Jwan K. Alwan, Abir Jaafar Hussain, Dhafar Hamed Abd, Ahmed Tariq Sadiq, Mohammed Khalaf, Panos Liatsis:
Political Arabic Articles Orientation Using Rough Set Theory With Sentiment Lexicon. IEEE Access 9: 24475-24484 (2021) - [j45]Wasiq Khan, Keeley A. Crockett, James O'Shea, Abir Hussain, Bilal Muhammed Khan:
Deception in the eyes of deceiver: A computer vision and machine learning based automated deception detection. Expert Syst. Appl. 169: 114341 (2021) - [j44]Phillip Kendrick, Thar Baker, Zakaria Maamar, Abir Hussain, Rajkumar Buyya, Dhiya Al-Jumeily:
An Efficient Multi-Cloud Service Composition Using a Distributed Multiagent-Based, Memory-Driven Approach. IEEE Trans. Sustain. Comput. 6(3): 358-369 (2021) - [c132]Ibtihaal M. Hameed, Sadiq H. Abdulhussain, Basheera M. Mahmmod, Abir Hussain:
Content Based Image Retrieval Based on Feature Fusion and Support Vector Machine. DeSE 2021: 552-558 - [c131]Mustafa M. Faisal, Mohammad S. Mohammed, Ali M. Abduljabar, Sadiq H. Abdulhussain, Basheera M. Mahmmod, Wasiq Khan, Abir Hussain:
Object Detection and Distance Measurement Using AI. DeSE 2021: 559-565 - [c130]Abbas Saad Alatrany, Abir Hussain, Jamila Mustafina, Dhiya Al-Jumeily:
Stacked Machine Learning Model for Predicting Alzheimer's Disease Based on Genetic Data. DeSE 2021: 594-598 - [c129]Dhafar Hamed Abd, Wasiq Khan, Khudhair Abed Thamer, Abir Jaafar Hussain:
Arabic Light Stemmer Based on ISRI Stemmer. ICIC (3) 2021: 32-45 - [c128]Matthew Harper, Fawaz Ghali, Abir Hussain, Dhiya Al-Jumeily:
Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19. ICIC (3) 2021: 132-147 - [c127]Matthew Harper, Fawaz Ghali, Abir Hussain, Dhiya Al-Jumeily:
Challenges in Data Capturing and Collection for Physiological Detection of Dementia-Related Difficulties and Proposed Solutions. ICIC (3) 2021: 162-173 - [c126]Abbas Saad Alatrany, Abir Hussain, Jamila Mustafina, Dhiya Al-Jumeily:
A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data. ICIC (3) 2021: 253-266 - [c125]Haya Al-Askar, Rasul Almurshedi, Jamila Mustafina, Dhiya Al-Jumeily, Abir Hussain:
AI in Skin Cancer Detection. ICIC (3) 2021: 301-311 - [e7]De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya V. Gribova, Abir Hussain:
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12837, Springer 2021, ISBN 978-3-030-84528-5 [contents] - [i5]Sohail Ahmed Khan, Wasiq Khan, Abir Hussain:
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis). CoRR abs/2101.02552 (2021) - [i4]Basheera M. Mahmmod, Sadiq H. Abdulhussain, Tomás Suk, Abir Hussain:
Fast Computation of Hahn Polynomials for High Order Moments. CoRR abs/2111.07749 (2021) - 2020
- [j43]Mohammed Khalaf, Haya Alaskar, Abir Jaafar Hussain, Thar Baker, Zakaria Maamar, Rajkumar Buyya, Panos Liatsis, Wasiq Khan, Hissam Tawfik, Dhiya Al-Jumeily:
IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models. IEEE Access 8: 70375-70386 (2020) - [j42]Belal Ali Al-Maytami, Pingzhi Fan, Abir Jaafar Hussain, Thar Baker, Panos Liatsis:
An efficient queries processing model based on Multi Broadcast Searchable Keywords Encryption (MBSKE). Ad Hoc Networks 98 (2020) - [j41]Wasiq Khan, Abir Jaafar Hussain, Haya Alaskar, Thar Baker, Fawaz Ghali, Dhiya Al-Jumeily, Ahmed Al-Shamma'a:
Prediction of Flood Severity Level via Processing IoT Sensor Data Using a Data Science Approach. IEEE Internet Things Mag. 3(4): 10-15 (2020) - [j40]Haya Alaskar, Abir Jaafar Hussain, Wasiq Khan, Hissam Tawfik, Pip Trevorrow, Panos Liatsis, Zohra Sbaï:
A data science approach for reliable classification of neuro-degenerative diseases using gait patterns. J. Reliab. Intell. Environ. 6(4): 233-247 (2020) - [j39]Mohamed Alloghani, Ahmed J. Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf:
Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles. BMC Medical Informatics Decis. Mak. 20(1): 93 (2020) - [j38]Natasa Kleanthous, Abir Jaafar Hussain, Wasiq Khan, Panos Liatsis:
A new machine learning based approach to predict Freezing of Gait. Pattern Recognit. Lett. 140: 119-126 (2020) - [j37]Zaynab Ahmed, Abir Jaafar Hussain, Wasiq Khan, Thar Baker, Haya Al-Askar, Janet Lunn, Raghad Al-Shabandar, Dhiya Al-Jumeily, Panos Liatsis:
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics. Remote. Sens. 12(6): 1004 (2020) - [j36]Wasiq Khan, Abir Hussain, Kaya Kuru, Haya Al-Askar:
Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision. Sensors 20(13): 3785 (2020) - [j35]Mohammed Abbas Mohammed Almansor, Chongfu Zhang, Wasiq Khan, Abir Hussain, Naji Alhusaini:
Cross Lingual Sentiment Analysis: A Clustering-Based Bee Colony Instance Selection and Target-Based Feature Weighting Approach. Sensors 20(18): 5276 (2020) - [j34]Jade Hind, Paulo Lisboa, Abir Jaafar Hussain, Dhiya Al-Jumeily:
A Novel Approach to Detecting Epistasis using Random Sampling Regularisation. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1535-1545 (2020) - [c124]Sohail Ahmed Khan, Wasiq Khan, Abir Hussain:
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis). ICIC (3) 2020: 301-313 - [c123]Natasa Kleanthous, Abir Hussain, Wasiq Khan, Jenny Sneddon, Alex Mason:
Feature Extraction and Random Forest to Identify Sheep Behavior from Accelerometer Data. ICIC (3) 2020: 408-419 - [c122]Rajan Vohra, Jankisharan Pahareeya, Abir Hussain, Fawaz Ghali, Alison Lui:
Using Self Organizing Maps and K Means Clustering Based on RFM Model for Customer Segmentation in the Online Retail Business. ICIC (3) 2020: 484-497 - [c121]Raghad Al-Shabandar, Abir Hussain, Robert Keight, Wasiq Khan:
Students Performance Prediction in Online Courses Using Machine Learning Algorithms. IJCNN 2020: 1-7 - [c120]Ahmad Zia Ul-Saufie, Dhiya Al-Jumeily, Abir Hussain, Muqhlisah Muhamad, Jamila Mustafina, Fawaz Ghali, Thar Baker:
Novel Approach to Predict Ground-Level Ozone Concentration Using S-estimation and MM-Estimimation. IJCNN 2020: 1-5 - [c119]Umi Kalsom Yusof, Mohd Nor Akmal Khalid, Abir Hussain, Haziqah Shamsudin:
Financial Time Series Forecasting Using Prophet. IRICT 2020: 485-495 - [p6]Mohamed Alloghani, Thar Baker, Dhiya Al-Jumeily, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf:
A Systematic Review on Security and Privacy Issues in Mobile Devices and Systems. Handbook of Computer Networks and Cyber Security 2020: 585-608 - [p5]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Jamila Mustafina, Thar Baker, Ahmed J. Aljaaf:
Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 47-76 - [p4]Mohamed Alloghani, Thar Baker, Dhiya Al-Jumeily, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf:
Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 113-136 - [p3]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Panagiotis Liatsis, Ahmed J. Aljaaf:
Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 187-206 - [e6]De-Shuang Huang, Vitoantonio Bevilacqua, Abir Hussain:
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12463, Springer 2020, ISBN 978-3-030-60798-2 [contents] - [i3]Wasiq Khan, Abir Hussain, Sohail Ahmed Khan, Mohammed Al-Jumaily, Raheel Nawaz:
Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching. CoRR abs/2009.12923 (2020)
2010 – 2019
- 2019
- [j33]Ala S. Al Kafri, Sud Sudirman, Abir Hussain, Dhiya Al-Jumeily, Friska Natalia, Hira Meidia, Nunik Afriliana, Wasfi Al-Rashdan, Mohammad Bashtawi, Mohammed Al-Jumaily:
Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks. IEEE Access 7: 43487-43501 (2019) - [j32]Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight:
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques. IEEE Access 7: 149464-149478 (2019) - [j31]Belal Ali Al-Maytami, Pingzhi Fan, Abir Hussain, Thar Baker, Panos Liatsis:
A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing. IEEE Access 7: 160916-160926 (2019) - [j30]Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Askar:
Corrigendum to "A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting" [Big Data Research 14 (2018) 81-92]. Big Data Res. 18 (2019) - [j29]Paul R. McWhirter, Abir Hussain, Dhiya Al-Jumeily, Iain A. Steele, Marley M. B. R. Vellasco:
Classifying Periodic Astrophysical Phenomena from non-survey optimized variable-cadence observational data. Expert Syst. Appl. 131: 94-115 (2019) - [j28]Abir Jaafar Hussain, Zaynab Ahmed:
A survey on video compression fast block matching algorithms. Neurocomputing 335: 215-237 (2019) - [j27]Mohamed Alloghani, Mohammed M. Alani, Dhiya Al-Jumeily, Thar Baker, Jamila Mustafina, Abir Hussain, Ahmed J. Aljaaf:
A systematic review on the status and progress of homomorphic encryption technologies. J. Inf. Secur. Appl. 48 (2019) - [j26]Ahmed J. Aljaaf, Libby Van Tonder, Conor Mallucci, Dhiya Al-Jumeily, Abir Hussain, Mohamed Alloghani:
Patients Attitude to Technology - A Way to Improve Hydrocephalus Management and Follow up Using Smartphone Intelligent Application. J. Medical Syst. 43(9): 295:1-295:7 (2019) - [j25]Mohamed Alloghani, Ahmed J. Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf:
Implementation of machine learning algorithms to create diabetic patient re-admission profiles. BMC Medical Informatics Decis. Mak. 19-S(9): 253 (2019) - [j24]Haya Alaskar, Abir Hussain, Nourah Alaseem, Panos Liatsis, Dhiya Al-Jumeily:
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images. Sensors 19(6): 1265 (2019) - [c118]Hiba Alsmadi, Ahmed J. Aljaaf, Abir Jaafar Hussain, Jamila Mustafina, Rawaa Al-Jumeily, Thar Baker, Conor Mallucci:
An Insight into ICP Monitoring of Patients with Hydrocephalus using Data Science Approach. AICCSA 2019: 1-2 - [c117]Mohamed Mahyoub, Jade Hind, David Woods, Carl Wong, Abir Hussain, Dhiya Al-Jumeily:
Hierarchical Text Clustering and Categorisation Using a Semi-Supervised Framework. DeSE 2019: 153-159 - [c116]Sin Ying Tan, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf, Mohamed Alloghani:
A Perspective on Education to Support Industry 4.0: A Qualitative Case Study in UK. DeSE 2019: 215-220 - [c115]Jade J. K. Hind, Mohamed Mahyoub, David Woods, Carl Wong, Abir Hussain, Dhiya Al-Jumeily:
Automatic Stopword Detection Using Term Ranking between Written and Machine Speech Recognition Transcribed Reviews. DeSE 2019: 301-308 - [c114]Wasiq Khan, Abir Hussain, Bilal Muhammed Khan, Raheel Nawaz, Thar Baker:
Novel Framework for Outdoor Mobility Assistance and Auditory Display for Visually Impaired People. DeSE 2019: 984-989 - [c113]Javier de Arquer Rilo, Abir Hussain, May Al Taei, Thar Baker, Dhiya Al-Jumeily:
Dynamic Neural Network for Business and Market Analysis. ICIC (1) 2019: 77-87 - [c112]Natasa Kleanthous, Abir Hussain, Alex Mason, Jennifer Sneddon:
Data Science Approaches for the Analysis of Animal Behaviours. ICIC (3) 2019: 411-422 - [c111]Mohammed Khalaf, Abir Jaafar Hussain, Omar Alfandi, Dhiya Al-Jumeily, Mohamed Alloghani, Mahmood Alsaadi, Omar A. Dawood, Dhafar Hamed Abd:
An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets. ICIC (2) 2019: 580-591 - [c110]Haya Alaskar, Nada Alzhrani, Abir Hussain, Fatma Almarshed:
The Implementation of Pretrained AlexNet on PCG Classification. ICIC (3) 2019: 784-794 - [e5]De-Shuang Huang, Zhi-Kai Huang, Abir Hussain:
Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11645, Springer 2019, ISBN 978-3-030-26765-0 [contents] - 2018
- [j23]Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight:
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. IEEE Access 6: 73669-73685 (2018) - [j22]Waddah Waheeb, Rozaida Ghazali, Abir Jaafar Hussain:
Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting. Appl. Intell. 48(7): 1721-1738 (2018) - [j21]Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Askar:
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. Big Data Res. 14: 81-92 (2018) - [j20]Phillip Kendrick, Natalia Criado, Abir Hussain, Martin Randles:
A self-organising multi-agent system for decentralised forensic investigations. Expert Syst. Appl. 102: 12-26 (2018) - [j19]Abir Jaafar Hussain, Ali Al-Fayadh, Naeem Radi:
Image compression techniques: A survey in lossless and lossy algorithms. Neurocomputing 300: 44-69 (2018) - [c109]Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi:
Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. CEC 2018: 1-7 - [c108]Raghad Al-Shabandar, Abir Hussain, Robert Keight, Andy Laws, Thar Baker:
The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. CEC 2018: 1-8 - [c107]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Hussein M. Haglan, Mohamed Alloghani, Thar Baker, Abir Jaafar Hussain, Jamila Mustafina:
Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics. CEC 2018: 1-9 - [c106]Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Friska Natalia, Hira Meidia, Nunik Afriliana, Ali Sophian, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi:
Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network. CEC 2018: 1-8 - [c105]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Robert Keight, Paulo Lisboa, Paul Fergus, Ala S. Al Kafri:
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. CEC 2018: 1-8 - [c104]Nonso Nnamoko, Abir Hussain, David England:
Predicting Diabetes Onset: An Ensemble Supervised Learning Approach. CEC 2018: 1-7 - [c103]Natasa K. Orphanidou, Abir Hussain, Robert Keight, Paulo Lisboa, Jade Hind, Haya Al-Askar:
Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning. CEC 2018: 1-8 - [c102]David C. Reid, Abir Jaafar Hussain, Hissam Tawfik, Rozaida Ghazali, Dhiya Al-Jumeily:
Forecasting Natural Events Using Axonal Delay. CEC 2018: 1-6 - [c101]Jade Hind, Abir Hussain, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Carl Chalmers, Paulo Lisboa:
Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD). DeSE 2018: 12-17 - [c100]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Thaaer kh. Asman, Abir Jaafar Hussain, Thar Baker, Mohamed Alloghani, Jamila Mustafina:
H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring. DeSE 2018: 18-22 - [c99]Haya Alaskar, Abir Hussain:
Prediction of Parkinson Disease Using Gait Signals. DeSE 2018: 23-26 - [c98]Mohamed Alloghani, Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Hussain, Conor Mallucci, Jamila Mustafina:
Data Science to Improve Patient Management System. DeSE 2018: 27-30 - [c97]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Ahmed J. Aljaaf, Jamila Mustafina, Egor Petrov:
Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0. DeSE 2018: 64-70 - [c96]Abeer Abdullah Alsadhan, Abir Hussain, Mohammed M. Alani:
Detecting NDP Distributed Denial of Service Attacks Using Machine Learning Algorithm Based on Flow-Based Representation. DeSE 2018: 134-140 - [c95]Belal Ali Al-Maytami, Abir Hussain:
Traffic Load Reduction of Multi-owner, Multikeywords and Multi-user Searches Using Parallel Searching and Cache Trapdoors. DeSE 2018: 141-146 - [c94]Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Ahmed J. Aljaaf, Jamila Mustafina, Egor Petrov:
Application of Machine Learning on Student Data for the Appraisal of Academic Performance. DeSE 2018: 157-162 - [c93]Hiba Al Smadi, Fiona J. Petcher, Dhiya Al-Jumeily, Abir Jaafar Hussain, Carl Chalmers, Richard P. Jennings:
The Development of an Arches Resource Model for Recording Radiocarbon Information. DeSE 2018: 220-224 - [c92]Abir Jaafar Hussain, Deimante Marcinonyte Marcinonyte, Farkhund Iqbal, Hissam Tawfik, Thar Baker, Dhiya Al-Jumeily:
Smart Home Systems Security. HPCC/SmartCity/DSS 2018: 1422-1428 - [c91]Abeer Abdullah Alsadhan, Abir Hussain, Thar Baker, Omar Alfandi:
Detecting Distributed Denial of Service Attacks in Neighbour Discovery Protocol Using Machine Learning Algorithm Based on Streams Representation. ICIC (3) 2018: 551-563 - [c90]Belal Ali Al-Maytami, Pingzhi Fan, Abir Hussain:
I-MMST: A New Task Scheduling Algorithm in Cloud Computing. ICIC (2) 2018: 601-612 - [c89]Thar Baker, José M. García-Campos, Daniel Gutiérrez-Reina, Sergio L. Toral Marín, Hissam Tawfik, Dhiya Al-Jumeily, Abir Hussain:
GreeAODV: An Energy Efficient Routing Protocol for Vehicular Ad Hoc Networks. ICIC (3) 2018: 670-681 - [c88]Haya Alaskar, Abir Jaafar Hussain:
Data Mining to Support the Discrimination of Amyotrophic Lateral Sclerosis Diseases Based on Gait Analysis. ICIC (3) 2018: 760-766 - [c87]Rounaq Abbas, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Asad Masood Khattak:
Classification of Foetal Distress and Hypoxia Using Machine Learning Approaches. ICIC (3) 2018: 767-776 - [c86]Natasa Kleanthous, Abir Hussain, Alex Mason, Jennifer Sneddon, Andy Shaw, Paul Fergus, Carl Chalmers, Dhiya Al-Jumeily:
Machine Learning Techniques for Classification of Livestock Behavior. ICONIP (4) 2018: 304-315 - [c85]Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers:
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. IJCNN 2018: 1-8 - [c84]Mohamed Alloghani, Dhiya Al-Jumeily, Thar Baker, Abir Hussain, Jamila Mustafina, Ahmed J. Aljaaf:
Applications of Machine Learning Techniques for Software Engineering Learning and Early Prediction of Students' Performance. SCDS 2018: 246-258 - [c83]Mohammed Al-Khafajiy, Thar Baker, Atif Waraich, Dhiya Al-Jumeily, Abir Hussain:
IoT-Fog Optimal Workload via Fog Offloading. UCC Companion 2018: 359-364 - [p2]Ahmed J. Aljaaf, Conor Mallucci, Dhiya Al-Jumeily, Abir Hussain, Mohamed Alloghani, Jamila Mustafina:
A Study of Data Classification and Selection Techniques to Diagnose Headache Patients. Applications of Big Data Analytics 2018: 121-134 - [e4]De-Shuang Huang, M. Michael Gromiha, Kyungsook Han, Abir Hussain:
Intelligent Computing Methodologies - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III. Lecture Notes in Computer Science 10956, Springer 2018, ISBN 978-3-319-95956-6 [contents] - [i2]Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers:
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. CoRR abs/1804.03198 (2018) - [i1]Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily:
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. CoRR abs/1804.06262 (2018) - 2017
- [j18]Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Posco Tso:
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. Neurocomputing 228: 154-164 (2017) - [j17]Paul Fergus, Abir Jaafar Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly A. Mackintosh, Gareth Stratton, Nicola D. Ridgers, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Janet Lunn:
A machine learning approach to measure and monitor physical activity in children. Neurocomputing 228: 220-230 (2017) - [c82]Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi:
Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function. DeSE 2017: 9-13 - [c81]Jade Hind, Dhiya Al-Jumeily, Abir Jaafar Hussain, Naif Almughamisi, Mark Allen, Jamila Mustafina:
Impacts and Benefits of Health Informatics in Saudi Arabia: A Weblink Pilot Project. DeSE 2017: 43-49 - [c80]Phillip Kendrick, Abir Hussain, Natalia Criado, Martin Randles:
Selecting Scalable Network Features for Infiltration Detection. DeSE 2017: 88-93 - [c79]Mohamed Alloghani, Abir Hussain, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Nasser AlShamsi:
Development of an Interactive System to Enhance Strategic Planning Process and Quality of Aviation Operations Using Balanced Scorecard: A UAE Case study. DeSE 2017: 201-205 - [c78]Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Russell Keenan, Carl Chalmers, Paul Fergus, Wafaa Salih, Dhafar Hamed Abd, Ibrahim Olatunji Idowu:
Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. DeSE 2017: 232-237 - [c77]Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn:
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses. ICIC (1) 2017: 26-36 - [c76]Robert Keight, Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Aynur Özge, Conor Mallucci:
An Intelligent Systems Approach to Primary Headache Diagnosis. ICIC (2) 2017: 61-72 - [c75]Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi, Jamila Mustafina:
Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. ICIC (3) 2017: 107-116 - [c74]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Ala S. Al Kafri, Carl Chalmers, Paul Fergus, Ibrahim Olatunji Idowu:
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. ICIC (2) 2017: 115-121 - [c73]Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Jade Hind:
Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data. ICIC (2) 2017: 325-336 - [c72]Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Mehmet Tevfik Dorak, Rosni Abdullah:
Evaluation of Phenotype Classification Methods for Obesity Using Direct to Consumer Genetic Data. ICIC (2) 2017: 350-362 - [c71]Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi:
Machine learning approaches to predict learning outcomes in Massive open online courses. IJCNN 2017: 713-720 - [c70]Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Jade Hind, Naeem Radi:
Machine learning approaches for the prediction of obesity using publicly available genetic profiles. IJCNN 2017: 2743-2750 - [c69]Robert Keight, Dhiya Al-Jumeily, Abir Jaafar Hussain, Mohammed Al-Jumeily, Conor Mallucci:
Towards the discrimination of primary and secondary headache: An intelligent systems approach. IJCNN 2017: 2768-2775 - [c68]Paul R. McWhirter, Iain A. Steele, Dhiya Al-Jumeily, Abir Hussain, Marley M. B. R. Vellasco:
The classification of periodic light curves from non-survey optimized observational data through automated extraction of phase-based visual features. IJCNN 2017: 3058-3065 - [c67]Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa:
A robust method for the interpretation of genomic data. IJCNN 2017: 3385-3390 - [c66]Abir Hussain:
Machine learning approaches for extracting genetic medical data information. ICC 2017: 1:1 - [c65]Martin Randles, Princy Johnson, Abir Hussain:
Internet of things eco-systems: assured interactivity of devices and data through cloud based team work. ICC 2017: 15:1-15:9 - [c64]Younis A. Younis, Kashif Kifayat, Abir Hussain:
Preventing and detecting cache side-channel attacks in cloud computing. ICC 2017: 83:1-83:8 - [c63]Phillip Kendrick, Abir Hussain, Natalia Criado, Martin Randles:
Multi-agent systems for scalable internet of things security. ICC 2017: 193:1-193:6 - [e3]De-Shuang Huang, Abir Hussain, Kyungsook Han, M. Michael Gromiha:
Intelligent Computing Methodologies - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10363, Springer 2017, ISBN 978-3-319-63314-5 [contents] - 2016
- [j16]Abir Jaafar Hussain, Dhiya Al-Jumeily, Haya Al-Askar, Naeem Radi:
Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction. Neurocomputing 188: 23-30 (2016) - [j15]Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins:
Advanced artificial neural network classification for detecting preterm births using EHG records. Neurocomputing 188: 42-49 (2016) - [c62]Wafaa Mahdi Salih, Abir Jaafar Hussain, Mohammed Khalaf, Janet Lunn, Dhiya Al-Jumeily, Paul Fergus, Timothy Ealeifo, Hanaa Mahdi Salih:
The Effects of Premature Birth on Children Education. DeSE 2016: 51-55 - [c61]Thaier Hamid, Dhiya Al-Jumeily, Abir Hussain, Jamila Mustafina:
Cyber Security Risk Evaluation Research Based on Entropy Weight Method. DeSE 2016: 98-104 - [c60]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu:
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. ICIC (1) 2016: 784-795 - [c59]Phillip Kendrick, Abir Jaafar Hussain, Natalia Criado:
Multi-agent Systems for Dynamic Forensic Investigation. ICIC (1) 2016: 796-807 - [c58]C. Aday Curbelo Montañez, Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, B. Abdulaimma, Haya Al-Askar:
A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight. ICIC (1) 2016: 808-819 - [c57]Paul R. McWhirter, Sean Wright, Iain A. Steele, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus:
A Dynamic, Modular Intelligent-Agent Framework for Astronomical Light Curve Analysis and Classification. ICIC (1) 2016: 820-831 - [c56]Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Mohammed Al-Jumaily, Haya Al-Askar:
A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies. ICIC (1) 2016: 843-854 - [c55]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Hani Hamdan:
Partially Synthesised Dataset to Improve Prediction Accuracy. ICIC (1) 2016: 855-866 - [c54]Ahmed J. Aljaaf, Abir Jaafar Hussain, Paul Fergus, Andrzej Przybyla, Gabor J. Barton:
Evaluation of machine learning methods to predict knee loading from the movement of body segments. IJCNN 2016: 5168-5173 - [e2]De-Shuang Huang, Kyungsook Han, Abir Hussain:
Intelligent Computing Methodologies - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9773, Springer 2016, ISBN 978-3-319-42296-1 [contents] - 2015
- [j14]Shamaila Iram, Paul Fergus, Dhiya Al-Jumeily, Abir Jaafar Hussain, Martin Randles:
A classifier fusion strategy to improve the early detection of neurodegenerative diseases. Int. J. Artif. Intell. Soft Comput. 5(1): 23-44 (2015) - [j13]Haya Alaskar, David J. Lamb, Abir Jaafar Hussain, Dhiya Al-Jumeily, Martin Randles, Paul Fergus:
Predicting financial time series data using artificial immune system-inspired neural networks. Int. J. Artif. Intell. Soft Comput. 5(1): 45-68 (2015) - [j12]Abir Jaafar Hussain, Paul Fergus, Haya Al-Askar, Dhiya Al-Jumeily, Franc Jager:
Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women. Neurocomputing 151: 963-974 (2015) - [j11]Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi, Paulo Lisboa:
Hybrid Neural Network Predictive-Wavelet Image Compression System. Neurocomputing 151: 975-984 (2015) - [j10]Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus:
Using adaptive neural networks to provide self-healing autonomic software. Int. J. Space Based Situated Comput. 5(3): 129-140 (2015) - [j9]Dhiya Al-Jumeily, Abir Hussain, Mohammed Alghamdi, Chelsea Dobbins, Jan Lunn:
Educational crowdsourcing to support the learning of computer programming. Res. Pract. Technol. Enhanc. Learn. 10(1): 13 (2015) - [c53]Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raúl V. Casaña Eslava, Robert Keight:
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. CIT/IUCC/DASC/PICom 2015: 215-220 - [c52]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Paul Fergus, Ibrahim Olatunji Idowu:
Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease. CIT/IUCC/DASC/PICom 2015: 575-580 - [c51]Dhiya Al-Jumeily, Abir Hussain, Áine MacDermott, Hissam Tawfik, Gemma Seeckts, Jan Lunn:
The Development of Fraud Detection Systems for Detection of Potentially Fraudulent Applications. DeSE 2015: 7-13 - [c50]Ursula Lennon, Abir Jaafar Hussain, Hulya Francis, Dhiya Al-Jumeily, Paul Fergus, Mohammed Khalaf, Naeem Radi:
The Impact of Social Media and Its Utilisation by Pharmaceutical Companies. DeSE 2015: 14-19 - [c49]Abir Jaafar Hussain, Laura Connell, Hulya Francis, Dhiya Al-Jumeily, Paul Fergus, Naeem Radi:
An Investigation into Gender Disparities in the Field of Computing. DeSE 2015: 20-25 - [c48]Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Anthony Pich, Jade Hind:
Teaching Primary School Children the Concept of Computer Programming. DeSE 2015: 180-184 - [c47]Mohamed Alloghani, Abir Hussain, Dhiya Al-Jumeily, Omar Abuelma'atti:
Technology Acceptance Model for the Use of M-Health Services among Health Related Users in UAE. DeSE 2015: 213-217 - [c46]Dhiya Al-Jumeily, Abir Hussain, Áine MacDermott, Hissam Tawfik, Jennifer Murphy:
Improving Communication between Healthcare Professionals and Their Patients through a Prescription Tracking System. DeSE 2015: 218-224 - [c45]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Robert Keight, Paul Fergus, Ibrahim Olatunji Idowu:
Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. DeSE 2015: 231-235 - [c44]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi:
A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset. ICIC (3) 2015: 101-108 - [c43]David C. Reid, Hissam Tawfik, Abir Jaafar Hussain, Haya Al-Askar:
Forecasting Weather Signals Using a Polychronous Spiking Neural Network. ICIC (1) 2015: 116-123 - [c42]Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Naeem Radi:
Self-organized Neural Network Inspired by the Immune Algorithm for the Prediction of Speech Signals. ICIC (2) 2015: 654-664 - [c41]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Naeem Radi:
A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. ICIC (2) 2015: 665-675 - [c40]Paul Fergus, Abir Jaafar Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly A. Mackintosh, Gareth Stratton, Nicola D. Ridgers, Naeem Radi:
A Machine Learning Approach to Measure and Monitor Physical Activity in Children to Help Fight Overweight and Obesity. ICIC (2) 2015: 676-688 - [c39]Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi:
A Position Paper on Predicting the Onset of Nocturnal Enuresis Using Advanced Machine Learning. ICIC (2) 2015: 689-700 - [c38]Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Haya Alaskar, Naeem Radi:
The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case Study. ICIC (3) 2015: 752-758 - [c37]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ibrahim Olatunji Idowu:
Advance flood detection and notification system based on sensor technology and machine learning algorithm. IWSSIP 2015: 105-108 - [c36]Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ursula Lennon, Mohammed Khalaf, Naeem Radi:
The utilisation of social media for bridging the gap between patients and pharmaceutical companies. IWSSIP 2015: 179-183 - [c35]Dhiya Al-Jumeily, Abir Hussain, Áine MacDermott, Gemma Seeckts, Jan Lunn:
Methods and techniques to support the development of fraud detection system. IWSSIP 2015: 224-227 - [c34]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi:
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets. IWSSIP 2015: 228-232 - [c33]Dhiya Al-Jumeily, Abir Hussain, Áine MacDermott, Jennifer Murphy:
Improving the barrier of communication between healthcare professionals and their patients using a Prescription Tracking System. IWSSIP 2015: 282-286 - [e1]De-Shuang Huang, Kang-Hyun Jo, Abir Jaafar Hussain:
Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9226, Springer 2015, ISBN 978-3-319-22185-4 [contents] - 2014
- [c32]Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar:
Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births. CISIS 2014: 95-100 - [c31]Shamaila Iram, Dhiya Al-Jumeily, Paul Fergus, Abir Jaafar Hussain:
Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers. CISIS 2014: 346-352 - [c30]Abir Jaafar Hussain, Haya Alaskar, Dhiya Al-Jumeily:
Physical Time Series Prediction Using Dynamic Neural Network Inspired by the Immune Algorithm. ICAIS 2014: 152-161 - [c29]Dhiya Al-Jumeily, Shamaila Iram, Abir Jaafar Hussain, François-Benoît Vialatte, Paul Fergus:
Early Detection Method of Alzheimer's Disease Using EEG Signals. ICIC (3) 2014: 25-33 - [c28]Haya Al-Askar, Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi:
Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for Financial Time Series Prediction. ICIC (3) 2014: 56-62 - [c27]Paul Fergus, David Hignett, Abir Jaafar Hussain, Dhiya Al-Jumeily:
An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection. ICIC (3) 2014: 112-118 - [c26]Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, David J. Lamb, Mohammed Al-Jumaily, Khaled Abdel-Aziz:
A Study of Data Classification and Selection Techniques for Medical Decision Support Systems. ICIC (2) 2014: 135-143 - [c25]Haya Alaskar, Abir Jaafar Hussain, Paul Hussain Fergus, Dhiya Al-Jumeily, Hissam Tawfik, Hani Hamdan:
Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm. ICIC (1) 2014: 206-212 - [c24]Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar:
Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records. ICIC (3) 2014: 309-314 - [c23]David C. Reid, Abir Jaafar Hussain, Hissam Tawfik, Rozaida Ghazali:
Prediction of Physical Time Series Using Spiking Neural Networks. ICIC (2) 2014: 816-824 - [c22]Rentian Huang, Hissam Tawfik, Abir Jaafar Hussain, Haya Al-Askar:
The Application of Artificial Immune Systems for the Prediction of Premature Delivery. ICIC (2) 2014: 825-833 - [c21]Abir Jaafar Hussain, Liam Knight, Dhiya Al-Jumeily, Paul Fergus, Hani Hamdan:
Block Matching Algorithms for Motion Estimation - A Comparison Study. SIRS 2014: 359-369 - [p1]Dhiya Al-Jumeily, Mohamad Al-Zawi, Abir Jaafar Hussain, Ciprian Dobre:
Adaptive Pipelined Neural Network Structure in Self-aware Internet of Things. Big Data and Internet of Things 2014: 111-136 - 2013
- [c20]Mohammed Alghamdi, David J. Lamb, Dhiya Al-Jumeily, Abir Jaafar Hussain:
Assessing the Impact of Web-Based Technology on Learning Styles in Education. DeSE 2013: 348-353 - [c19]Anthony Farrugia, Dhiya Al-Jumeily, Mohammed Al-Jumaily, Abir Hussain, David J. Lamb:
Medical Diagnosis: Are Artificial Intelligence Systems Able to Diagnose the Underlying Causes of Specific Headaches? DeSE 2013: 376-382 - [c18]Dhiya Al-Jumeily, Abir Jaafar Hussain, Haya Alaskar:
Recurrent neural networks inspired by artificial Immune algorithm for time series prediction. IJCNN 2013: 1-8 - [c17]Dhiya Al-Jumeily, Abir Jaafar Hussain, Haya Alaskar:
Recurrent neural networks inspired by artificial immune algorithm for time series prediction. IJCNN 2013: 1-8 - [c16]David C. Reid, Abir Jaafar Hussain, Hissam Tawfik:
Spiking neural networks for financial data prediction. IJCNN 2013: 1-10 - 2011
- [j8]Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsis:
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals. Expert Syst. Appl. 38(4): 3765-3776 (2011) - [c15]Abir Jaafar Hussain, S. Morgan, Dhiya Al-Jumeily:
How Does ICT Affect Teachings and Learning within School Education. DeSE 2011: 250-254 - [c14]Zaynab Ahmed, Abir Jaafar Hussain, Dhiya Al-Jumeily:
Enhanced Computation Time for Fast Block Matching Algorithm. DeSE 2011: 289-293 - [c13]M. Mousa Al-Zawi, Dhiya Al-Jumeily, Abir Hussain, A. Taleb-Bendiab:
Autonomic Computing: Applications of Self-Healing Systems. DeSE 2011: 381-386 - [c12]Naeem Radi, Abir Jaafar Hussain, Dhiya Al-Jumeily:
Hybrid Predictive, Wavelet and Arithmetic (HPWA) Image Coding System. DeSE 2011: 558-563 - [c11]Zaynab Ahmed, Abir Jaafar Hussain, Dhiya Al-Jumeily:
Mean Predictive Block Matching (MPBM) for fast block-matching motion estimation. EUVIP 2011: 67-72 - [c10]G. Hughes, Dhiya Al-Jumeily, Abir Jaafar Hussain:
Research, design and development review of the Cloud Computing Management System (CCMS). ICITST 2011: 128-131
2000 – 2009
- 2009
- [j7]Rozaida Ghazali, Abir Jaafar Hussain, Nazri Mohd Nawi, Baharuddin Mohamad:
Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network. Neurocomputing 72(10-12): 2359-2367 (2009) - [j6]Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily:
Novel hybrid classified vector quantization using discrete cosine transform for image compression. J. Electronic Imaging 18(2): 023003 (2009) - [c9]Abir Jaafar Hussain, Dhiya Al-Jumeily, Paulo J. G. Lisboa:
Adaptive Classified Vector Quantisation of Non-orthogonal Representations of Images and its Application to Image Compression. CICSyN 2009: 386-391 - 2008
- [j5]Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy:
Financial time series prediction using polynomial pipelined neural networks. Expert Syst. Appl. 35(3): 1186-1199 (2008) - [j4]Abir Jaafar Hussain, Panos Liatsis, Hissam Tawfik, Atulya K. Nagar, Dhiya Al-Jumeily:
Physical time series prediction using Recurrent Pi-Sigma Neural Networks. Int. J. Artif. Intell. Soft Comput. 1(1): 130-145 (2008) - [j3]Abir Jaafar Hussain, Rozaida Ghazali, Dhiya Al-Jumeily:
Dynamic Ridge Polynomial Neural Networks for multi-step financial time-series prediction. Int. J. Intell. Syst. Technol. Appl. 5(1/2): 145-165 (2008) - [j2]Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsis, Hissam Tawfik:
The application of ridge polynomial neural network to multi-step ahead financial time series prediction. Neural Comput. Appl. 17(3): 311-323 (2008) - [c8]Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily:
An Adaptive Hybrid Classified Vector Quantisation and its Application to Image Compression. EMS 2008: 253-256 - [c7]Ali Al-Fayadh, Abir Jaafar Hussain, Paulo J. G. Lisboa, Dhiya Al-Jumeily:
An adaptive hybrid image compression method and its application to medical images. ISBI 2008: 237-240 - [c6]Rozaida Ghazali, Abir Jaafar Hussain, M. N. Mohd. Salleh:
Application of Polynomial Neural Networks to Exchange Rate Forecasting. ISDA (2) 2008: 90-95 - 2007
- [c5]Rozaida Ghazali, Abir Jaafar Hussain, Dhiya Al-Jumeily, Madjid Merabti:
Dynamic Ridge Polynomial Neural Networks in Exchange Rates Time Series Forecasting. ICANNGA (2) 2007: 123-132 - [c4]Abir Jaafar Hussain, Dhiya Al-Jumeily:
How Good Is the Backpropogation Neural Network Using a Self-Organised Network Inspired by Immune Algorithm (SONIA) When Used for Multi-step Financial Time Series Prediction? ISNN (2) 2007: 921-930 - 2006
- [c3]Rozaida Ghazali, Abir Jaafar Hussain, Madjid Merabti:
Higher order neural networks and their applications to financial time series prediction. Artificial Intelligence and Soft Computing 2006: 120-125 - [c2]Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lisboa, Wael El-Deredy, Dhiya Al-Jumeily:
Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction. Australian Conference on Artificial Intelligence 2006: 597-606 - [c1]Rozaida Ghazali, Abir Jaafar Hussain, Wael El-Deredy:
Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction. IJCNN 2006: 913-920 - 2003
- [j1]Abir Jaafar Hussain, Panos Liatsis:
Recurrent pi-sigma networks for DPCM image coding. Neurocomputing 55(1-2): 363-382 (2003)
Coauthor Index
[j62] [j60] [j57] [c161] [c160] [c157] [c151] [c145] [c144] [i6] [j55] [j54] [j53] [j47] [c136] [c135] [d1] [j44] [c130] [c128] [c127] [c126] [c125] [j43] [j41] [j39] [j37] [j34] [c120] [p6] [p5] [p4] [p3] [j33] [j29] [j27] [j26] [j25] [j24] [c117] [c115] [c113] [c111] [c109] [c107] [c106] [c105] [c102] [c101] [c100] [c98] [c97] [c94] [c93] [c92] [c89] [c87] [c86] [c85] [c84] [c83] [p2] [i2] [i1] [j18] [j17] [c82] [c81] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [c70] [c69] [c68] [c67] [j16] [c62] [c61] [c60] [c58] [c57] [c56] [c55] [j14] [j13] [j12] [j11] [j10] [j9] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c21] [p1] [c20] [c19] [c18] [c17] [c15] [c14] [c13] [c12] [c11] [c10] [j6] [c9] [j4] [j3] [c8] [c7] [c5] [c4] [c2]
Haya Alaskar
aka: Haya Al-Askar
aka: Haya Al-Askar
Paul Fergus
aka: Paul Hussain Fergus
aka: Paul Hussain Fergus
[c109] [c106] [c105] [c86] [c85] [i2] [i1] [j18] [j17] [c82] [c78] [c75] [c74] [c73] [c72] [c70] [j15] [c62] [c60] [c58] [c57] [c56] [c55] [c54] [j14] [j13] [j12] [j10] [c53] [c52] [c50] [c49] [c48] [c45] [c44] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c32] [c31] [c29] [c27] [c25] [c24] [c21]
Panos Liatsis
aka: Panagiotis Liatsis
aka: Panagiotis Liatsis
Paulo J. G. Lisboa
aka: Paulo Lisboa
aka: Paulo Lisboa
Soliman A. Mahmoud
aka: Soliman Awad Mahmoud
aka: Soliman Awad Mahmoud
C. Aday Curbelo Montañez
aka: Casimiro Aday Curbelo Montañez
aka: Casimiro Aday Curbelo Montañez
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