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ORCIDExpert Systems - The Journal of Knowledge Engineering, Volume 40
Volume 40, Number 1, January 2023
- Álvaro Rocha
, Simona Riurean:
Editorial of the special issue from WorldCIST'20. - Maria José Sousa, George Leal Jamil, Cicero Eduardo Walter, Manuel Au-Yong-Oliveira, Fernando Moreira:
Big data analytics on patents for innovation public policies. - Andrea Vázquez-Ingelmo, Alicia García-Holgado, Francisco José García-Peñalvo, Roberto Therón:
Proof-of-concept of an information visualization classification approach based on their fine-grained features. - Davide Carneiro, Miguel Guimarães, Mariana Carvalho, Paulo Novais:
Using meta-learning to predict performance metrics in machine learning problems. - Habiba Drias, Yassine Drias, Ilyes Khennak:
A novel Orca Cultural Algorithm and applications. - Thyago Celso Cavalcante Nepomuceno, Victor Diogho Heuer de Carvalho, Késsia Thais C. Nepomuceno, Ana Paula C. S. Costa:
Exploring knowledge benchmarking using time-series directional distance functions and bibliometrics. - Anita Thakur, Prakriti Aggarwal, Ashwani Kumar Dubey, Ahmed Abdelgawad, Álvaro Rocha:
Design of decision model for sensitive crop irrigation system.
- Chao Cai, Haotian Dong, Xinyi Wang:
Expectile regression forest: A new nonparametric expectile regression model. - Kishore Balasubramanian, Ananthamoorthy Nalligoundenpalayam Periyasamy, Ramya Kishore:
Modified spider monkey optimization algorithm based feature selection and probabilistic neural network classifier in face recognition. - Mohammad Afzalinejad:
Radial eco-efficiency in the presence of weakly disposable undesirable outputs: Evaluating agricultural sectors. - Lalit Kumar, Manoj Kumar Kar, Sanjay Kumar:
Statistical analysis based reactive power optimization using improved differential evolutionary algorithm. - Swasthika Jain Thandaga Jwalanaiah, Israel Jeena Jacob, Ajay Kumar Mandava:
Effective deep learning based multimodal sentiment analysis from unstructured big data. - Michael Unterkalmsteiner, Waleed Adbeen:
A compendium and evaluation of taxonomy quality attributes. - Sohaib Asif, Wenhui Yi, Kamran Amjad, Hou Jin, Tao Yi, Jinhai Si:
Detection of COVID-19 from chest X-ray images: Boosting the performance with convolutional neural network and transfer learning. - Hamid Reza Boveiri, Raouf Khayami, Reza Javidan, Alireza Mehdizadeh, Samaneh Abbasi:
A regularization-based deep unsupervised model for affine multimodal co-registration. - Changhui You, Hong Zheng, Zhongyuan Guo, Tianyu Wang, Xiongbin Wu:
Tampering detection and localization base on sample guidance and individual camera device convolutional neural network features. - Sait Gül, Ali Aydogdu:
Novel distance and entropy definitions for linear Diophantine fuzzy sets and an extension of TOPSIS (LDF-TOPSIS). - João Pimentel, Paulo J. Azevedo, Luís Torgo:
Subgroup mining for performance analysis of regression models. - Nedim Muzoglu, Ahmet Mesrur Halefoglu, Muhammed Onur Avci, Melike Kaya Karaaslan, Bekir Siddik Binboga Yarman:
Detection of COVID-19 and its pulmonary stage using Bayesian hyperparameter optimization and deep feature selection methods. - Abdul Sami, Ali Asif, Muhammad Imran, Farah Aziz, Muhammad Yasir Noor:
Artificial neural network and dataset optimization for implementation of linear system models in resource-constrained embedded systems.
Volume 40, Number 2, February 2023
- Victor Chang, Lian Liu, Qianwen Xu, Taiyu Li, Ching-Hsien Hsu:
An improved model for sentiment analysis on luxury hotel review. - Bo Liu, Xingrui Li, Huina Wang, Shuangtao Zhao, Jianqiang Li, Guangzhi Qu, Fei Wang:
Retyping of triple-negative breast cancer based on clustering method. - Amanuel Hirpa Madessa, Junyu Dong, Yanhai Gan, Feng Gao:
A deep learning approach for specular highlight removal from transmissive materials. - Feng Zhao, Jiahui Zhang, Zhiyuan Chen, Xiaofeng Zhang, Qingsong Xie:
Topic identification of text-based expert stock comments using multi-level information fusion. - Yuki Nakai, Takanobu Miwa, Hiroki Shigemune, Hideyuki Sawada:
Four-dimensional collision detection and behaviour based on the physics-based calculation. - Ricardo dos Santos, José Aguilar:
A hybrid recommender system based on description/dialetheic logic and linked data. - Rong Qin, Huanhuan Lv, Yi Zhang, Luwen Huangfu, Sheng Huang:
ASDFL: An adaptive super-pixel discriminative feature-selective learning for vehicle matching. - Rui Song, Tong Li, Xin Dong, Zhiming Ding:
An effective points of interest recommendation approach based on embedded meta-path of spatiotemporal data. - Vijay Kumar, Dilbag Singh:
Chaotic spotted hyena optimizer for numerical problems. - Deepti Sisodia, Dilip Singh Sisodia:
A hybrid data-level sampling approach in learning from skewed user-click data for click fraud detection in online advertising. - Aleksandar Aleksic, Dragan D. Milanovic, Nikola Komatina, Danijela Tadic:
Evaluation and ranking of failures in manufacturing process by combining best-worst method and VIKOR under type-2 fuzzy environment. - Jingyun Sun, Shaobin Huang, Rongsheng Li:
An unsupervised policy relevance scoring method: Taking Chinese social security policies as the application case. - Rouhollah Javadpour Boroujeni, Seyfollah Soleimani:
Classify nodes based on their degree distribution: A more scalable method for influence maximization. - Bo Liu, Huina Wang, Xin Wang, Junqi Long, Xujie Zhuang, Xinchan Ji, Nian Zhu, Jinmeng Li, Ting Gao, Xuehui Zhang, Jiangyong Yu, Shuangtao Zhao:
Four-gene signature based on machine learning filtration could predict prognosis of patients with breast cancer. - Hadjer Moulai, Habiba Drias:
Association rule mining using new discrete elephant swarm approaches. - Esther-Lydia Silva-Ramírez, Inmaculada Cumbrera-Conde, Rafael Cano-Crespo, Francisco-Luis Cumbrera:
Machine learning techniques for the ab initio Bravais lattice determination. - Lin Zhong, Jun Zeng, Yang Yu, Hongjin Tao, Wenying Jiang, Luxi Cheng:
A text matching model based on dynamic multi-mask and augmented adversarial. - Hongxing Peng, Zheng Xing, Xiaotang Liu, Zongmei Gao, Huijun He:
Toward masked face recognition: An effective facial feature extraction and refinement model in multiple scenes. - Yossi Hadad, Baruch Keren:
A decision-making support system module for customer segmentation and ranking. - Suvita Rani Sharma, Manpreet Kaur, Birmohan Singh:
A Self-adaptive Bald Eagle Search optimization algorithm with dynamic opposition-based learning for global optimization problems.
Volume 40, Number 3, March 2023
ORIGINAL ARTICLES
- Gabriel B. Lima, Thiago de M. Chaves, Wanessa W. L. Freitas, Renata M. C. R. de Souza:
Statistical learning from Brazilian fake news. - Weihua Li, Hang Li, Bei Yang, Lihua Zhou, Xianming Yang, Miao Zhang, Bingyi Wang:
Knowledge-aware representation learning for diagnosis prediction. - Michael Osadebey, Marius Pedersen, Meeta Kalra, Dag Waaler, Nizar Bouguila:
Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation. - Ameed Almomani, Paula Saavedra, Pablo Barreiro, Roi Durán, Rosa M. Crujeiras, María Loureiro, Eduardo Sánchez:
Application of choice models in tourism recommender systems. - Muhammad Akram, Uzma Noreen, Dragan Pamucar:
Extended PROMETHEE approach with 2-tuple linguistic m-polar fuzzy sets for selection of elliptical cardio machine. - Mehmet Bilal Er:
COVID-19 detection based on pre-trained deep networks and LSTM model using X-ray images enhanced contrast with artificial bee colony algorithm. - Dinesh Menaka, S. Ganesh Vaidyanathan:
A hybrid convolutional neural network-support vector machine architecture for classification of super-resolution enhanced chromosome images. - Murugan Palanikumar, Krishnan Arulmozhi, Chiranjibe Jana, Madhumangal Pal:
Multiple-attribute decision-making spherical vague normal operators and their applications for the selection of farmers. - Neil A. M. Maiden, James Lockerbie, Konstantinos Zachos, Alex Wolf, Amanda Brown:
Designing new digital tools to augment human creative thinking at work: An application in elite sports coaching. - Saba Fatima, Musavarah Sarwar, Fariha Zafar, Muhammad Akram:
Group decision-making analysis based on distance measures under rough environment. - Chong Wang, Jie Liu:
Fault diagnosis for high-speed train braking system based on disentangled causal representation learning. - Hamid Reza Kazemi, Kaveh Khalili Damghani, Soheil Sadi-Nezhad:
Estimation of optimum thresholds for binary classification using genetic algorithm: An application to solve a credit scoring problem. - Soumyaranjan Ranasingh, Tapan Pradhan, Dhenuvakonda Koteswara Raju:
Calibration and frequency estimation in sensors for electrical parameter measurement using regression and metaheuristic based models. - Jianzhou Wang, Honggang Guo, Aiyi Song:
Photovoltaic power combination prediction system based on improved multi-objective optimization algorithm and nonlinear weighting strategy. - Tanuja Punetha, Komal:
Some novel operational laws and spherical fuzzy Choquet-Frank operators and their application to MCDM.
Volume 40, Number 4, May 2023
Metaheuristic Computation
- Aurora Ramírez, Rafael Barbudo, José Raúl Romero:
An experimental comparison of metaheuristic frameworks for multi-objective optimization. - Bitanu Chatterjee, Trinav Bhattacharyya, Kushal Kanti Ghosh, Agneet Chatterjee, Ram Sarkar:
A novel meta-heuristic approach for influence maximization in social networks. - Soniya, Lotika Singh, Sandeep Paul:
Hybrid evolutionary network architecture search (HyENAS) for convolution class of deep neural networks with applications. - Leonardo Ramos Rodrigues:
A chaotic grey wolf optimizer for constrained optimization problems. - Yacine Azouz, Dalila Boughaci:
Multi-objective memetic approach for the optimal web services composition. - Aakanksha Sharaff, Vrihas Pathak, Siddhartha Shankar Paul:
Deep learning-based smishing message identification using regular expression feature generation.
Innovations & Technology in Future Health Care System
- Jalal Sadoon Hameed Al-bayati, Burak Berk Üstündag:
Hybrid intelligent technology for plant health using the fusion of evolutionary optimization and deep neural networks. - Aditya Khamparia, Babita Pandey, Fadi M. Al-Turjman, Prajoy Podder:
An intelligent IoMT enabled feature extraction method for early detection of knee arthritis. - Guo Chen, Wenjian Zhang:
Application of big data information system in early diagnosis, treatment, and nursing of cervical cancer infected by human papillomavirus. - Bilal Yaseen Al-Mualemi, Lu Lu:
Characterization of heart rate variability and oxygen saturation in sepsis patients. - Xiao Lv, Dingying Ma, Jinsheng Zhou, Lili Zhang, Xinke Li:
Information collection system for fall detection of stroke patients under cascade algorithm in the context of multi-modal information fusion and e-health. - Zicheng Shan, Wei Miao:
COVID-19 patient diagnosis and treatment data mining algorithm based on association rules. - Aiwei Zhang, Junwei Wang, Cunming Zhang, Lingzhu Gu:
Prediction of chemical components of urinary stones through colour Doppler ultrasound twinkling artefacts under optimized space composite algorithm. - Faying Lian, Hui Liu, Huan Shao, Yanyan Han:
Embedded intelligent fetal heart rate monitoring system under empirical mode decomposition algorithm and its usage in pregnant women with pregnancy bacterial infection complications and nursing. - Prabhdeep Singh, Rajbir Kaur, Gaurav Dhiman, Giridhar Reddy Bojja:
BOSS: A new QoS aware blockchain assisted framework for secure and smart healthcare as a service. - Qingyu He, Ruigen Pan:
Automatic segmentation algorithm for magnetic resonance imaging in prediction of breast tumour histological grading. - Qiong Dai, Wei Ai, Kun Yuan, Min Jia, Jingwu Sun:
Computed tomography image and mechanism of spiral neuron T-type calcification channel of elderly patient with senile sudden deafness under embedded system combined with artificial intelligence algorithm. - Ziyu Song, Bowen Yang:
Ant colony based fish crowding degree optimization algorithm for magnetic resonance imaging segmentation in sports knee joint injury assessment. - Ji Ke, Shufa Wang, Jiangchun Li, Quan Liu:
Modified particle swarm optimization based magnetic resonance imaging analysis for identification of risk factors tissue damage incidence. - Ji Ke, Shufa Wang, Zhao Qiu, Quan Liu:
Diagnostic evaluation of low-rank matrix denoising algorithm-based magnetic resonance imaging on tibial plateau fracture complicated with meniscus injury. - Zhe Lin, Zhiqiang Zhang, Miao Xiao, Zhijian Xiao, Qichu Wang, Qian Jiang:
Application of permutation entropy and factorization network in the classification of congenital heart disease. - Bin Lu:
Algorithm improvement of neural network in endoscopic image recognition of upper digestive tract system. - Enas W. Abdulhay, Maha Alafeef, Hikmat Hadoush, Arunkumar N.:
A 64-channel scheme for autism detection via scaled conjugate gradient-based neural network classification of electroencephalogram ripples' complexity.
AI2020
- Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Lei Jiao, Adrian Wheeldon, Alex Yakovlev, Jie Lei, Morten Goodwin:
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. - Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin:
Using Tsetlin Machine to discover interpretable rules in natural language processing applications. - Omar Zammit, Serengul Smith, David Windridge, Clifford De Raffaele:
Reducing the dependency of having prior domain knowledge for effective online information retrieval.
AI and Edge Computing Driven Technologies for Knowledge Defined Networking
- Hui Zeng, Gaurav Dhiman, Ashutosh Sharma, Amit Sharma, Alexey A. Tselykh:
An IoT and Blockchain-based approach for the smart water management system in agriculture. - Hongzhi Wei, Yuqian Yang, Zhijian Liu:
Preschool education optimization based on mobile edge computing under COVID-19. - Xingsi Xue, Qihan Huang:
Generative adversarial learning for optimizing ontology alignment. - Zhuoqun Xia, Yaling Chen, Bo Yin, Haolan Liang, Hongmei Zhou, Ke Gu, Fei Yu:
Fed_ADBN: An efficient intrusion detection framework based on client selection in AMI network.
Expert Systems for Wireless Applications of Bio-Signals (WABioSig)
- U. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, Subha D. Puthankattil, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya:
Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals. - Yusuf Çelik, Murat Karabatak:
Extracting low dimensional representations from large size whole slide images using deep convolutional autoencoders. - Ashish Khanna, Pandiaraj Selvaraj, Deepak Gupta, Tariq Hussain Sheikh, Piyush Kumar Pareek, Vishnu Shankar:
Internet of things and deep learning enabled healthcare disease diagnosis using biomedical electrocardiogram signals. - Manish Sharma, Sohamkumar Patel, U. Rajendra Acharya:
Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environment. - Hilda Mayrose, Niranjana Sampathila, Giliyar Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Akash Basu, Saman Khan:
Intelligent algorithm for detection of dengue using mobilenetv2-based deep features with lymphocyte nucleus. - Surya Das, Subha D. Puthankattil:
Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns.
Artificial Intelligence-based Smart Decision Systems for Cognitive Psychology
- Yusi Teng, Jie Zhang, Ting Sun:
Data-driven decision-making model based on artificial intelligence in higher education system of colleges and universities. - Saranya Arirangan, Kottilingam Kottursamy:
Multi-scaled feature fusion enabled convolutional neural network for predicting fibrous dysplasia bone disorder. - Pratiksha Meshram, Radhakrishna Rambola:
Diagnosis of depression level using multimodal approaches using deep learning techniques with multiple selective features. - U. S. B. K. Mahalaxmi, Kishan Bhushan Sahay, R. Sabitha, Sulaima Lebbe Abdul Haleem, Prabjot Kaur, P. Vijayakumar:
Using electroencephalogram classification in a convolutional neural network, infer privacy on healthcare internet of things 5.0. - Bin Yang:
Model innovation of students' mental health education from the perspective of big data. - Mohamed Yacin Sikkandar, Ahmed Ayman A. Almedhun:
Numerical investigation of hemodynamic pattern in carotid artery dynamic aneurysm on bifurcation region for early clinical decision making. - Xuan Zhao, Bowen Liu, Xutong Jiang, Wenda Tang, Wanchun Dou:
Smart decision for device selection in D2D-assisted multi-path video transmission network. - Praphula Kumar Jain, Waris Quamer, Rajendra Pamula:
Consumer sentiment analysis with aspect fusion and GAN-BERT aided adversarial learning.
Internet of Agents (IoA): Concepts, Methodologies and Applications
- S. Rajiv, C. Navaneethan:
A supervised learning-based approach for focused web crawling for IoMT using global co-occurrence matrix. - Nebojsa Bacanin:
Hybrid multi agent optimization for optimal battery storage using micro grid. - Alaa Omran Almagrabi:
Challenges and vulnerability evaluation of smart cities in IoT device based on cybersecurity mechanism. - Ashit Kumar Dutta, Basit Qureshi, Yasser Albagory, Majed Alsanea, Deepak Gupta, Ashish Khanna:
Internet of agents system for age and gender classification using grasshopper optimization with deep convolution neural networks.
Role of Artificial Intelligence in Cloud Edge Computing
- Selvin Shabu Lilly Pushpam Jany Shabu, Kusum Yadav, Elham Kariri, Kamal Kumar Gola, Mohd Anul Haq, Anil Kumar:
Trajectory clustering and query processing analysis framework for knowledge discovery in cloud environment. - Sathishkumar Karupusamy, J. Refonaa, Sakthidasan Sankaran, Priyanka Dahiya, Mohd Anul Haq, Anil Kumar:
Effective energy usage and data compression approach using data mining algorithms for IoT data. - Aldosary Saad, Zafer Al-Makhadmeh:
A convex problem optimization solution for information management in edge computing platforms. - Simarjeet Kaur, Navdeep Kaur, Kamaljit Singh Bhatia, Mohd Abdul Rahim Khan, Manoj Gupta, Naveen Kumar Sharma, Sunil Kumar Sharma:
Node localization and data aggregation scheme using cuckoo search and neural network. - M. M. Kamruzzaman:
6G wireless communication assisted security management using cloud edge computing. - Dharmalingam Sundaram Manoj Kumar, Premkumar Sriramya:
Optimizing time delay in cloud using enhanced multi-hold inherited maximization algorithm to reduce cost and improve bandwidth. - Amartya Mukherjee, Ayan Kumar Panja, Nilanjan Dey, Rubén González Crespo:
An intelligent edge enabled 6G-flying ad-hoc network ecosystem for precision agriculture. - Pajany Murugaiyan, Zayaraz Godandapani:
A rendezvous block-based authentication framework for service-level security in decentralized cloud resources. - Muhammad Adil, Said Nabi, Muhammad Aleem, Vicente García-Díaz, Jerry Chun-Wei Lin:
CA-MLBS: content-aware machine learning based load balancing scheduler in the cloud environment. - Lakshmanan Karuppasamy, Venkatraman Vasudevan:
A novel double keys adapted elliptic curve cryptography and log normalized Gaussian sigmoid adaptive neuro-fuzzy interference system based secure resource allocation system in decentralized cloud storage.
Volume 40, Number 5, June 2023
UKCI2021
- Changhong Jiang, Shangzhu Jin, Changjing Shang, Qiang Shen:
Towards utilization of rule base structure to support fuzzy rule interpolation. - Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong:
Avoiding excess computation in asynchronous evolutionary algorithms. - Guanli Yue, Yanpeng Qu, Ansheng Deng, Qianyi Zhang:
Neuro-weighted multi-functional nearest-neighbour classification. - Arshad Sher, Megan Taylor Bunker, Otar Akanyeti:
Towards personalized environment-aware outdoor gait analysis using a smartphone. - Kaiyang Yin, Yifei Wang, Pengfei Li, Kejie Dai, Yaxu Xue, Longzhi Yang:
Adaptive ankle impedance control for bipedal robotic upright balance. - Muhammad Zaiyad Muda, Adrian Rubio Solis, George Panoutsos:
An evolving feature weighting framework for radial basis function neural network models.
KDBI 2021
- Carolina Centeio Jorge, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Rosaldo J. F. Rossetti, Cláudio Rebelo de Sá:
"Want to come play with me?" Outlier subgroup discovery on spatio-temporal interactions. - Pedro Miguel Alves, Ricardo Ângelo Filipe, Benedita Malheiro:
Telco customer top-ups: Stream-based multi-target regression. - Roney Malaguti, Nuno Lourenço, Cristóvão Silva:
A supervised machine learning model for determining lubricant oil operating conditions. - Joana Vilela, Muhammad Asif, Ana Rita Marques, João Xavier Santos, Célia Rasga, Astrid Moura Vicente, Hugo F. M. C. Martiniano:
Biomedical knowledge graph embeddings for personalized medicine: Predicting disease-gene associations. - Shazia Tabassum, João Gama, Paulo J. Azevedo, Mário Cordeiro, Carlos Martins, Andre Martins:
Social network analytics and visualization: Dynamic topic-based influence analysis in evolving micro-blogs.
Artificial Intelligence Paradigms: Transformations, Challenges, and Future for e-Health Post COVID-19
- Sweeti Sah, Surendiran Balasubramanian, Ramasamy Dhanalakshmi, Mohammad Yamin:
Covid-19 cases prediction using SARIMAX Model by tuning hyperparameter through grid search cross-validation approach. - Balakrishnama Manohar, Raja Das:
Artificial neural networks for prediction of COVID-19 in India by using backpropagation. - Ashwini Kumar Pradhan, Kaberi Das, Debahuti Mishra, Premkumar Chithaluru:
Optimizing CNN-LSTM hybrid classifier using HCA for biomedical image classification.
WorldCIST'21
- Ramón Valera-Aranguren, Patricia Paderewski-Rodríguez, Francisco Luis Gutiérrez Vela, Jeferson Arango-López, Fernando Moreira:
Building a pervasive social gaming experience using SocialPG. - Rafael Angelo Santos Leite, Cicero Eduardo Walter, Igor Bezerra Reis, Pedro Elias Figueredo de Sousa, Iracema Machado de Aragão, Manuel Au-Yong-Oliveira:
Towards a model for determining patent revenue odds: An empirical study of technology transfer offices. - Wenting Zhang:
An analysis and prediction model based on complex network time series. - Yuyan Shen, Yan Qian:
Expert system and entropy-ordered weighted average method in cold supply chain risk evaluation. - Mina Ge, Hualiang Lin:
Evaluation of China's regional innovation capability based on simulated annealing projection pursuit model and nested fuzzy evaluation model. - Rishabh Tiwari, Ashwani Kumar Dubey, Álvaro Rocha:
A novel YOLOv4-modified approach for efficient object detection in satellite imagery.
Federated Learning for Cybersecurity in Internet of Things/FLCySec
- Hong-an Li, Guanyi Wang, Qiaozhi Hua, Zheng Wen, Li Zhan-Li, Ting Lei:
An image watermark removal method for secure internet of things applications based on federated learning. - Poongodi Manoharan, Ranjan Walia, Celestine Iwendi, Tariq Ahamed Ahanger, S. T. Suganthi, M. M. Kamruzzaman, Sami Bourouis, Wajdi Alhakami, Mounir Hamdi:
SVM-based generative adverserial networks for federated learning and edge computing attack model and outpoising. - Hasan J. Alyamani:
Cyber security for federated learning environment using AI technique. - Krishna Pandey, Rajeev Arya:
Linear pricing game based power control with resource allocation and interference management in device-to-device communication for IoT applications. - Tarek Moulahi, Rateb Jabbar, Abdulatif Alabdulatif, Sidra Abbas, Salim El Khediri, Salah Zidi, Muhammad Rizwan:
Privacy-preserving federated learning cyber-threat detection for intelligent transport systems with blockchain-based security. - Pallavi Joshi, Sarvesh Kumar, Ajay Singh Raghuvanshi:
A performance efficient joint clustering and routing approach for heterogeneous wireless sensor networks. - Shadi Mahmoodi Khaniabadi, Amir Javadpour, Mehdi Gheisari, Weizhe Zhang, Yang Liu, Arun Kumar Sangaiah:
An intelligent sustainable efficient transmission internet protocol to switch between User Datagram Protocol and Transmission Control Protocol in IoT computing. - Laraib Javed, Adeel Anjum, Bello Musa Yakubu, Majid Iqbal, Syed Atif Moqurrab, Gautam Srivastava:
ShareChain: Blockchain-enabled model for sharing patient data using federated learning and differential privacy. - Thavavel Vaiyapuri, Shabbab Algamdi, Rajan John, Zohra Sbaï, Munira Alhelal, Ahmed Alkhayyat, Deepak Gupta:
Metaheuristics with federated learning enabled intrusion detection system in Internet of Things environment. - Jie Yang, Jun Zheng, Thar Baker, Shuai Tang, Yu-an Tan, Quanxin Zhang:
Clean-label poisoning attacks on federated learning for IoT. - Deepraj Chowdhury, Soham Banerjee, Madhushree Sannigrahi, Arka Chakraborty, Anik Das, Ajoy Dey, Ashutosh Dhar Dwivedi:
Federated learning based Covid-19 detection. - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava:
Temporal positional lexicon expansion for federated learning based on hyperpatism detection. - Weiping Duan, Zhongyi Tang, Wei Liu, Hongbiao Zhou:
Autonomous driving planning and decision making based on game theory and reinforcement learning.
Recent Advances in Neuro-Computing and Applications in Robotics/NeuroRobotics
- Yongzhao Xu, Paulo Cirillo Souza Barbosa, Joel Sotero da Cunha Neto, Lijuan Zhang, Vimal Shanmuganathan, Victor Hugo C. de Albuquerque, Subbulakshmi Pasupathi:
Development of intelligent and integrated technology for pattern recognition in EMG signals for robotic prosthesis command. - Kanchan Naithani, Yadav Prasad Raiwani:
Realization of natural language processing and machine learning approaches for text-based sentiment analysis. - Manu Kohli, Arpan Kumar Kar, Shuchi Sinha:
Robot facilitated rehabilitation of children with autism spectrum disorder: A 10 year scoping review.
Big Data and IoT Solutions for Smart Agriculture
- Imtiaz Ahmed, Pramod Kumar Yadav:
Plant disease detection using machine learning approaches. - Aahan Singh Charak, Aditya Sinha, Tarun Jain:
Novel approach for quantification for severity estimation of blight diseases on leaves of tomato plant.
AI2021
- Ke Shen, Mayank Kejriwal:
An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks.
Volume 40, Number 6, July 2023
Artificial Intelligence and Cognitive Science (AICS 2021)
- Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. - Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond:
Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. - Mihai Pomarlan, Maria M. Hedblom, Robert Porzel:
Curiously exploring affordance spaces of a pouring task. - Luis Miralles-Pechuán, Ankit Kumar, Andrés L. Suárez-Cetrulo:
Forecasting COVID-19 cases using dynamic time warping and incremental machine learning methods. - Çagri Demir, Simon Caton, Pierpaolo Dondio:
Subnetwork ensembling and data augmentation: Effects on calibration. - Dominic Callan, Jennifer Foster:
How interesting and coherent are the stories generated by a large-scale neural language model? Comparing human and automatic evaluations of machine-generated text.
Methods for dealing with low information quality and limited resources in Cyber-Physical Systems
- Yangyang Bao, Weidong Qiu, Xiaochun Cheng:
Privacy-preserving and fine-grained data sharing for resource-constrained healthcare CPS devices. - Bassam Al-Shargabi, Ahmad Dar Assi:
A modified lightweight DNA-based cryptography method for internet of things devices.
Advances in Deep Fuzzy Model for Signal Processing and its Applications
- Rajesh Narayan Deo, Ashish Shrivastava, Kalyan Chatterjee:
Implementation of sliding mode backstepping controller for boost converter in real-time for LED application. - Firas Al-Mukhtar:
Facial emotions recognition using local monotonic pattern and grey level co-occurrence matrices images aided development. - Maibam Mangalleibi Chanu, Ngangbam Herojit Singh, Khelchandra Thongam:
An automated epileptic seizure detection using optimized neural network from EEG signals.
ORIGINAL ARTICLES
- Ginni Arora, Ashwani Kumar Dubey, Zainul Abdin Jaffery, Álvaro Rocha:
Architecture of an effective convolutional deep neural network for segmentation of skin lesion in dermoscopic images. - M. D. Boomija, S. V. Kasmir Raja:
Threshold multiparty multi-randomness secure partially homomorphic encryption for data security in cloud. - Ramakrishnan Menaha, V. E. Jayanthi:
Heuristics-based sequence labelling model for finding educational domain acronym expansions. - Ching-Lin Fang, Ming-Chang Wang, Chih-Fong Tsai, Wei-Chao Lin, Pei-Qi Liao:
Instance selection using one-versus-all and one-versus-one decomposition approaches in multiclass classification datasets. - Nabil Arhab, Mourad Oussalah, Yazid Bounab:
Analysis of user's car parking behaviour through twitter hashtags. - Durga Rajan, Poovammal Eswaran, Gautam Srivastava, Kadiyala Ramana, Celestine Iwendi:
Blockchain-based multi-layered federated extreme learning networks in connected vehicles. - Hanaa S. Ali, Asmaa I. Ismail, El-Sayed M. El-Rabaie, Fathi E. Abd El-Samie:
Deep residual architectures and ensemble learning for efficient brain tumour classification. - Ming Mao, Peng Yi, Lilong Hou, Guanying Zhang:
Smart contract-based resource allocation service mechanism for internet of vehicles. - Bahman Arasteh, Reza Ghanbarzadeh, Farhad Soleimanian Gharehchopogh, Ali Hosseinalipour:
Generating the structural graph-based model from a program source-code using chaotic forrest optimization algorithm. - Sonali Samal, Yudong Zhang, Thippa Reddy Gadekallu, Rajashree Nayak, Bunil Kumar Balabantaray:
SBMYv3: Improved MobYOLOv3 a BAM attention-based approach for obscene image and video detection. - Gustavo Santos-García, José Carlos R. Alcantud:
Ranked soft sets. - Muhammad Junaid Umer, Muhammad Sharif, Mudassar Raza, Seifedine Kadry:
A deep feature fusion and selection-based retinal eye disease detection from OCT images. - Pawan Kumar Pathak, Anil Kumar Yadav, Anshuman Shastri:
BWOA based metaheuristic approach for uncertain nonlinear milling CNC machine system. - Zhongming Han, Fuyu Chen, Hui Zhang, Zhiyu Yang, Wenwen Liu, Zequan Shen, Haitao Xiong:
An attention-based representation learning model for multiple relational knowledge graph. - Jihad Zahir:
Prediction of court decision from Arabic documents using deep learning. - Tokala Yaswanth Sri Sai Santosh, Sai Saketh Aluru, Anoop Vallabhajosyula, Debarshi Kumar Sanyal, Partha Pratim Das:
Label informed hierarchical transformers for sequential sentence classification in scientific abstracts. - Ghanapriya Singh, Orchid Chetia Phukan, Ravinder Kumar:
Stress recognition with multi-modal sensing using bootstrapped ensemble deep learning model. - Abdul Haseeb Ganie, Surender Singh:
Some novel q-rung orthopair fuzzy similarity measures and entropy measures with their applications. - Yeshwant Singh, Anupam Biswas:
Lightweight convolutional neural network architecture design for music genre classification using evolutionary stochastic hyperparameter selection. - Cun Zhang, Xing-Peng Chen, Guo-Qiang Han, Xiang-Jie Liu:
Spatial transformer network on skeleton-based gait recognition. - Abdurrahman Özbeyaz, Yasar Inceyol:
A novel preference-based artificial-bee-colony algorithm approach to the land reallocation optimization problem in a land consolidation case study: DOT village in Turkey. - Kriti Taneja, Vinay Arora, Karun Verma:
Classifying the heart sound signals using textural-based features for an efficient decision support system. - Malihe Danesh, Morteza Dorrigiv, Farzin Yaghmaee:
A survey of clustering large probabilistic graphs: Techniques, evaluations, and applications. - Meng Cao, Jinliang Yuan, Hualei Yu, Baoming Zhang, Chongjun Wang:
Self-supervised short text classification with heterogeneous graph neural networks.
Volume 40, Number 7, August 2023
REVIEW
- Gokul Yenduri, Thippa Reddy Gadekallu:
A review on soft computing approaches for predicting maintainability of software: State-of-the-art, technical challenges, and future directions.
ORIGINAL ARTICLES
- Aditya Gupta, Amritpal Singh:
EDL-NSGA-II: Ensemble deep learning framework with NSGA-II feature selection for heart disease prediction. - Abdul Quadir Muhammed, S. M. Satya Sree Narayanan, H. Sabireen, Arun Kumar Sivaraman, Kong Fah Tee:
A novel approach to detect fraud in Ethereum transactions using stacking. - Duygu Bagci Das, Derya Birant:
Human activity recognition based on multi-instance learning. - Souvik Gayen, Arun Sarkar, Animesh Biswas:
Schweizer-Sklar operations based hybrid aggregation operator to dual hesitant q-rung orthopair fuzzy set and its application on MCGDM. - Yaqing Kou, Jun Wang, Wuhuan Xu, Yuan Xu:
Multi-attribute group decision-making based on linguistic Pythagorean fuzzy copula extended power average operator. - S. K. Shrikanth Rao, Maheshkumar H. Kolekar, Roshan Joy Martis:
Atrial fibrillation detection using Poincare geometry and heart beat intervals. - Sonia Mittal, Mukesh Patel:
Age invariant face recognition using discriminative tensor subspace learning with fuzzy based classification. - Yi Su, Xuesong Jiang:
Simulation research on knowledge flow in a collaborative innovation network. - Mousumi Malakar, Ravindra B. Keskar, Ajit Zadgaonkar:
A hierarchical automatic phoneme recognition model for Hindi-Devanagari consonants using machine learning technique. - Alok Kumar Shukla:
Detecting impersonation episode using teaching learning-based optimization and support vector machine techniques. - Fatemeh Nazarieh, Mohammad Naderi Dehkordi:
Time series forecasting based on a novel ensemble-based network and variational mode decomposition. - Hare Krishna Mishra, Manpreet Kaur:
Classification of brain tumour based on texture and deep features of magnetic resonance images. - Karnika Dwivedi, Malay Kishore Dutta:
Microcell-Net: A deep neural network for multi-class classification of microscopic blood cell images. - Xiaojian Xu, Yucai Gao, Xiaobin Xu, Libo Dai, Shelan Liu, Shuo Zhang, Xu Weng:
H7N9 avian influenza diagnosis based on a multilayer belief rule-based inference methodology. - Abhishek Kumar, Swarn Avinash Kumar, Vishal Dutt, S. Shitharth, Esha Tripathi:
IoT based arrhythmia classification using the enhanced hunt optimization-based deep learning. - Sanjay Dhanka, Vibhor Kumar Bhardwaj, Surita Maini:
Comprehensive analysis of supervised algorithms for coronary artery heart disease detection. - Parag Bhuyan, Pranav Kumar Singh, Sujit Kumar Das, Anshuman Kalla:
SE_SPnet: Rice leaf disease prediction using stacked parallel convolutional neural network with squeeze-and-excitation. - Mahsa Safari, Hesam Varaee:
Opposition-based ideal gas molecular movement algorithm with Cauchy mutation, velocity clamping, and mirror operator. - Jyoti Rani, Jaswinder Singh, Jitendra Virmani:
Hybrid computer aided diagnostic system designs for screen film mammograms using DL-based feature extraction and ML-based classifiers.
Volume 40, Number 8, September 2023
REVIEW
- Harshita Mangotra, Sahima Srivastava, Garima Jaiswal, Ritu Rani, Arun Sharma:
Hyperspectral imaging for early diagnosis of diseases: A review.
ORIGINAL ARTICLES
- Zi-Yu Chen, Fei Xiao, Xiao-kang Wang, Wen-Hui Hou, Rui-Lu Huang, Jian-qiang Wang:
An interpretable diagnostic approach for lung cancer: Combining maximal clique and improved BERT. - Sakir Engin Sahin, Gokhan Gulhan, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Oliver Faust, U. Rajendra Acharya:
PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals. - Shweta Saboo, Joyeeta Singha, Rabul Hussain Laskar:
Deep learning based spatio-temporal hand gesture recognition system in complex environment. - Taha Mansouri, Sunil Vadera:
Explainable fault prediction using learning fuzzy cognitive maps. - Rashmi Vishraj, Savita Gupta, Sukhwinder Singh:
Evaluation of feature selection methods utilizing random forest and logistic regression for lung tissue categorization using HRCT images. - Seham Basabain, Erik Cambria, Khalid Alomar, Amir Hussain:
Enhancing Arabic-text feature extraction utilizing label-semantic augmentation in few/zero-shot learning. - João Luiz Junho Pereira, Benedict Jun Ma, Matheus Brendon Francisco, Ronny Francis Ribeiro Junior, Guilherme Ferreira Gomes:
A comparison between chaos theory and Lévy flights in sunflower optimization for feature selection. - João Luiz Junho Pereira, Guilherme Ferreira Gomes:
Multi-objective sunflower optimization: A new hypercubic meta-heuristic for constrained engineering problems. - Jianxiang Wei, Yuhang Chen, Pu Han, Yunxia Zhu, Weidong Huang:
Edge-featured graph attention network with dependency features for causality detection of events. - Velliangiri Sarveshwaran, P. Karthikeyan, J. Premalatha:
Multi-disease classification model using deep neural network and Strassen's rectilinear fine-tune bouncing training algorithm. - Anuja Arora, Vikas Hassija, Shivam Bansal, Siddharth Yadav, Vinay Chamola, Amir Hussain:
A novel multimodal online news popularity prediction model based on ensemble learning. - Sonali Samal, Yudong Zhang, Thippa Reddy Gadekallu, Bunil Kumar Balabantaray:
ASYv3: Attention-enabled pooling embedded Swin transformer-based YOLOv3 for obscenity detection. - Muhammad Akram, Ghous Ali, José Carlos R. Alcantud:
A new method of multi-attribute group decision making based on hesitant fuzzy soft expert information.
SURVEY ARTICLE
- Abhishek Dixit, Nirmal Kaur, Staffy Kingra:
Review of audio deepfake detection techniques: Issues and prospects.
Volume 40, Number 9, November 2023
REVIEW
- Palak Handa, Esha Gupta, Satya Muskan, Nidhi Goel:
A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets.
ORIGINAL ARTICLES
- Seyed Mahdi Shariatzadeh, Mahmood Fathy, Reza Berangi:
Improving the accuracy and speed of fast template-matching algorithms by neural architecture search. - Rufeng Liang, Weiwen Zhang, Haiming Ye:
Interpretable deep learning based text regression for financial prediction. - M. Bhuvaneswari, V. Lakshmi Prabha:
A deep learning approach for the depression detection of social media data with hybrid feature selection and attention mechanism. - Bhawna Saxena, Vikas Saxena, Nishit Anand, Vikas Hassija, Vinay Chamola, Amir Hussain:
A Hurst-based diffusion model using time series characteristics for influence maximization in social networks. - Zhen Jiang, Lingyun Zhao, Yongzhao Zhan:
A boosted co-training method for class-imbalanced learning. - Lavina Pahuja, Ahmad Kamal:
EnLEFD-DM: Ensemble Learning based Ethereum Fraud Detection using CRISP-DM framework. - Dikshit Chauhan, Anupam Yadav:
An adaptive artificial electric field algorithm for continuous optimization problems. - Xue Zhang, Bin Wu, Yangdong Ye:
Graph attentive matrix factorization for social recommendation. - Tedo Vrbanec, Ana Mestrovic:
Comparison study of unsupervised paraphrase detection: Deep learning - The key for semantic similarity detection. - Zekeriya Anil Guven, Andre Lamurias:
Multilingual bi-encoder models for biomedical entity linking. - Ketan Sanjay Desale, Swati Shinde:
Concept drift detection and adaption framework using optimized deep learning and adaptive sliding window approach. - Javier Huertas-Tato, Alejandro Martín, David Camacho:
BERTuit: Understanding Spanish language in Twitter with transformers. - I-Fang Su, Ping Lei Lin, Yu-Chi Chung, Chiang Lee:
Forecasting of Taiwan's weighted stock Price index based on machine learning. - Huifen Zhong, Zhaotong Lian, Tianwei Zhou, Ben Niu, Bowen Xue:
Integrated recovery system with bidding-based satisfaction: An adaptive multi-objective approach.
Volume 40, Number 10, December 2023
KDBI 2023
- Paulo Cortez, Albert Bifet:
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence. - Edson Duarte, Daniel de Haro Moraes, Lucas Leonardo Padula:
An empirical study of learning-to-rank for spare parts consumption in the repair process. - Susana Nascimento, Alexandre Martins, Paulo Relvas, Joaquim Luis, Boris G. Mirkin:
Piece-wise constant cluster modelling of dynamics of upwelling patterns. - Bruno Oliveira, Óscar Oliveira, Orlando Belo:
Overcoming traditional ETL systems architectural problems using a service-oriented approach. - David Silva, Fernando Bação:
MapIntel: A visual analytics platform for competitive intelligence.
ORIGINAL ARTICLES
- Hong Wang, Yixin Wang, Menglong Liu, Tianwei Zhou, Ben Niu:
An enhanced bacterial colony optimization with dynamic multi-leader co-evolution for multiobjective optimization problems. - Muhammad Talal, Sumair Aziz, Muhammad Umar Khan, Yazeed Ghadi, Syed Zohaib Hassan Naqvi, Muhammad Faraz:
Machine learning-based classification of multiple heart disorders from PCG signals. - Avinash Malik:
A comparison of machine learning and econometric models for pricing perpetual Bitcoin futures and their application to algorithmic trading. - Victor Chang, Qianwen Ariel Xu, Karl Hall, Olojede Theophilus Oluwaseyi, Jiabin Luo:
Comprehensive analysis of UK AADF traffic dataset set within four geographical regions of England. - Tao Peng, Sana Sellami, Omar Boucelma, Richard Chbeir:
Multi-output regression for imbalanced data stream. - Priyanka Rastogi, Kavita Khanna, Vijendra Singh:
Classification of single-cell cervical pap smear images using EfficientNet. - Tianwei Zhou, Churong Zhang, Xizhang Yao, Ben Niu:
Membership-based aircraft parking stand allocation system with time window constraints: An event-based time-space separated algorithm. - Shulin Cheng, Shan Yang, Xiufang Cheng, Wanyan Wang:
An effective overlapping community merging method oriented to multidimensional attribute social networks. - Nethraa Sivakumar, Pooja Srinivasan, Mrinalini Kannan, P. Vijayalakshmi, T. Nagarajan:
PooRaa-Agri KG: An agricultural knowledge graph-based simplified multilingual query system. - Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri:
M2CE: Multi-convolutional neural network ensemble approach for improved multiclass classification of skin lesion. - Asim Sinan Yüksel, Fatma Gülsah Tan:
DeepCens: A deep learning-based system for real-time image and video censorship. - Prashant Giridhar Shambharkar, Ruchi Goel:
Auto encoder with mode-based learning for keyframe extraction in video summarization. - Chen Cheng, Qingping Zhou:
MCDIP-ADMM: Overcoming overfitting in DIP-based CT reconstruction. - Mao Zhen Liu:
A military reconnaissance network for small-scale open-scene camouflaged people detection. - Sushree Subhaprada Pradhan, Sibarama Panigrahi, Sourav Kumar Purohit, Jatindra Kumar Dash:
Study and development of hybrid and ensemble forecasting models for air quality index forecasting. - Xiao Li, Ziang Chen:
Exploiting community and structural hole spanner for influence maximization in social networks. - Rodrigo Ribeiro Caputo, Edimilson Batista dos Santos, Leonardo Chaves Dutra da Rocha:
Convolutional neural networks applied to data organized as OLAP cubes. - Daniel Vicente Rodrigo, Jesús Enrique Sierra-García, Matilde Santos:
GBNN algorithm enhanced by movement planner for UV-C disinfection. - C. M. Suneera, Jay Prakash, Pramod Kumar Singh:
Question answering over knowledge graphs using BERT based relation mapping. - Sravan Kumar Challa, Akhilesh Kumar, Vijay Bhaskar Semwal, Nidhi Dua:
An optimized deep learning model for human activity recognition using inertial measurement units.
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