| Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion SU Amin, M Alsulaiman, G Muhammad, MA Mekhtiche, MS Hossain Future Generation computer systems 101, 542-554, 2019 | 520 | 2019 |
| Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review H Altaheri, G Muhammad, M Alsulaiman, SU Amin, GA Altuwaijri, W Abdul, ... Neural Computing and Applications 35 (20), 14681-14722, 2023 | 426 | 2023 |
| Applying deep learning for epilepsy seizure detection and brain mapping visualization MS Hossain, SU Amin, M Alsulaiman, G Muhammad ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 330 | 2019 |
| Genetic neural network based data mining in prediction of heart disease using risk factors SU Amin, K Agarwal, R Beg 2013 IEEE conference on information & communication technologies, 1227-1231, 2013 | 309 | 2013 |
| Cognitive smart healthcare for pathology detection and monitoring SU Amin, MS Hossain, G Muhammad, M Alhussein, MA Rahman IEEE Access 7, 10745-10753, 2019 | 247 | 2019 |
| Multilevel weighted feature fusion using convolutional neural networks for EEG motor imagery classification SU Amin, M Alsulaiman, G Muhammad, MA Bencherif, MS Hossain Ieee Access 7, 18940-18950, 2019 | 218 | 2019 |
| Edge intelligence and Internet of Things in healthcare: A survey SU Amin, MS Hossain IEEE access 9, 45-59, 2020 | 208 | 2020 |
| Cognitive IoT-cloud integration for smart healthcare: case study for epileptic seizure detection and monitoring M Alhussein, G Muhammad, MS Hossain, SU Amin Mobile Networks and Applications 23 (6), 1624-1635, 2018 | 190 | 2018 |
| A facial-expression monitoring system for improved healthcare in smart cities G Muhammad, M Alsulaiman, SU Amin, A Ghoneim, MF Alhamid IEEE Access 5, 10871-10881, 2017 | 154 | 2017 |
| Edge intelligence in the cognitive Internet of Things: Improving sensitivity and interactivity Y Zhang, X Ma, J Zhang, MS Hossain, G Muhammad, SU Amin IEEE Network 33 (3), 58-64, 2019 | 153 | 2019 |
| Electroencephalography-based motor imagery classification using temporal convolutional network fusion YK Musallam, NI AlFassam, G Muhammad, SU Amin, M Alsulaiman, ... Biomedical Signal Processing and Control 69, 102826, 2021 | 152 | 2021 |
| Medical image forgery detection for smart healthcare A Ghoneim, G Muhammad, SU Amin, B Gupta IEEE Communications Magazine 56 (4), 33-37, 2018 | 152 | 2018 |
| Smart-Edge-CoCaCo: AI-enabled smart edge with joint computation, caching, and communication in heterogeneous IoT Y Hao, Y Miao, L Hu, MS Hossain, G Muhammad, SU Amin IEEE Network 33 (2), 58-64, 2019 | 129 | 2019 |
| Research on disease prediction based on improved DeepFM and IoMT Z Yu, SU Amin, M Alhussein, Z Lv IEEE Access 9, 39043-39054, 2021 | 102 | 2021 |
| Attention-inception and long-short-term memory-based electroencephalography classification for motor imagery tasks in rehabilitation SU Amin, H Altaheri, G Muhammad, W Abdul, M Alsulaiman IEEE Transactions on Industrial Informatics 18 (8), 5412-5421, 2021 | 84 | 2021 |
| Improving consumer satisfaction in smart cities using edge computing and caching: A case study of date fruits classification MS Hossain, G Muhammad, SU Amin Future Generation Computer Systems 88, 333-341, 2018 | 83 | 2018 |
| Date fruit dataset for intelligent harvesting H Altaheri, M Alsulaiman, G Muhammad, SU Amin, M Bencherif, ... Data in brief 26, 104514, 2019 | 65 | 2019 |
| Intelligent real-time Arabic sign language classification using attention-based inception and BiLSTM W Abdul, M Alsulaiman, SU Amin, M Faisal, G Muhammad, FR Albogamy, ... Computers and Electrical Engineering 95, 107395, 2021 | 62 | 2021 |
| Ai-powered green cloud and data center J Yang, W Xiao, C Jiang, MS Hossain, G Muhammad, SU Amin IEEE Access 7, 4195-4203, 2018 | 58 | 2018 |
| Data mining in clinical decision support systems for diagnosis, prediction and treatment of heart disease SU Amin, K Agarwal, R Beg International Journal of Advanced Research in Computer Engineering …, 2013 | 58 | 2013 |
Ghulam MuhammadProfessor at King Saud UniversityPatvirtintas el. paštas ksu.edu.sa
