| 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 | 478 | 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 | 335 | 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 | 312 | 2019 |
| A comprehensive survey on multimodal medical signals fusion for smart healthcare systems G Muhammad, F Alshehri, F Karray, A El Saddik, M Alsulaiman, TH Falk Information Fusion 76, 355-375, 2021 | 222 | 2021 |
| 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 | 207 | 2019 |
| Date fruit classification for robotic harvesting in a natural environment using deep learning H Altaheri, M Alsulaiman, G Muhammad Ieee Access 7, 117115-117133, 2019 | 196 | 2019 |
| Voice pathology detection and classification using auto-correlation and entropy features in different frequency regions A Al-Nasheri, G Muhammad, M Alsulaiman, Z Ali, KH Malki, TA Mesallam, ... Ieee Access 6, 6961-6974, 2017 | 170 | 2017 |
| Hand gesture recognition for sign language using 3DCNN M Al-Hammadi, G Muhammad, W Abdul, M Alsulaiman, MA Bencherif, ... IEEE access 8, 79491-79509, 2020 | 165 | 2020 |
| Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation M Al-Hammadi, G Muhammad, W Abdul, M Alsulaiman, MA Bencherif, ... Ieee Access 8, 192527-192542, 2020 | 161 | 2020 |
| Edge computing with cloud for voice disorder assessment and treatment G Muhammad, MF Alhamid, M Alsulaiman, B Gupta IEEE Communications Magazine 56 (4), 60-65, 2018 | 161 | 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 | 150 | 2017 |
| Physics-informed attention temporal convolutional network for EEG-based motor imagery classification H Altaheri, G Muhammad, M Alsulaiman IEEE transactions on industrial informatics 19 (2), 2249-2258, 2022 | 140 | 2022 |
| An investigation of multidimensional voice program parameters in three different databases for voice pathology detection and classification A Al-Nasheri, G Muhammad, M Alsulaiman, Z Ali, TA Mesallam, M Farahat, ... Journal of Voice 31 (1), 113. e9-113. e18, 2017 | 132 | 2017 |
| Sensor-based human activity recognition with spatio-temporal deep learning O Nafea, W Abdul, G Muhammad, M Alsulaiman Sensors 21 (6), 2141, 2021 | 130 | 2021 |
| Comparative study of soft computing techniques for mobile robot navigation in an unknown environment M Algabri, H Mathkour, H Ramdane, M Alsulaiman Computers in human behavior 50, 42-56, 2015 | 122 | 2015 |
| 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 | 117 | 2021 |
| Voice pathology detection using interlaced derivative pattern on glottal source excitation G Muhammad, M Alsulaiman, Z Ali, TA Mesallam, M Farahat, KH Malki, ... Biomedical signal processing and control 31, 156-164, 2017 | 111 | 2017 |
| Investigation of voice pathology detection and classification on different frequency regions using correlation functions A Al-Nasheri, G Muhammad, M Alsulaiman, Z Ali Journal of Voice 31 (1), 3-15, 2017 | 105 | 2017 |
| Development of the arabic voice pathology database and its evaluation by using speech features and machine learning algorithms TA Mesallam, M Farahat, KH Malki, M Alsulaiman, Z Ali, A Al-Nasheri, ... Journal of healthcare engineering 2017 (1), 8783751, 2017 | 94 | 2017 |
| Multidirectional regression (MDR)-based features for automatic voice disorder detection G Muhammad, TA Mesallam, KH Malki, M Farahat, A Mahmood, ... Journal of Voice 26 (6), 817. e19-817. e27, 2012 | 77 | 2012 |
