| DL-CRC: deep learning-based chest radiograph classification for COVID-19 detection: a novel approach S Sakib, T Tazrin, MM Fouda, ZM Fadlullah, M Guizani Ieee Access 8, 171575-171589, 2020 | 159 | 2020 |
| A proof-of-concept of ultra-edge smart IoT sensor: A continuous and lightweight arrhythmia monitoring approach S Sakib, MM Fouda, ZM Fadlullah, N Nasser, W Alasmary IEEE Access 9, 26093-26106, 2021 | 35 | 2021 |
| Migrating intelligence from cloud to ultra-edge smart IoT sensor based on deep learning: An arrhythmia monitoring use-case S Sakib, MM Fouda, ZM Fadlullah, N Nasser 2020 International Wireless Communications and Mobile Computing (IWCMC), 595-600, 2020 | 33 | 2020 |
| An efficient and lightweight predictive channel assignment scheme for multiband B5G-enabled massive IoT: A deep learning approach S Sakib, T Tazrin, MM Fouda, ZM Fadlullah, N Nasser IEEE Internet of Things Journal 8 (7), 5285-5297, 2020 | 32 | 2020 |
| A deep learning method for predictive channel assignment in beyond 5G networks S Sakib, T Tazrin, MM Fouda, ZM Fadlullah, N Nasser IEEE Network 35 (1), 266-272, 2020 | 25 | 2020 |
| Energy-aware hybrid RF-VLC multiband selection in D2D communication: A stochastic multiarmed bandit approach S Hashima, MM Fouda, S Sakib, ZM Fadlullah, K Hatano, EM Mohamed, ... IEEE Internet of Things Journal 9 (18), 18002-18014, 2022 | 23 | 2022 |
| Asynchronous federated learning-based ECG analysis for arrhythmia detection S Sakib, MM Fouda, ZM Fadlullah, K Abualsaud, E Yaacoub, M Guizani 2021 IEEE International Mediterranean Conference on Communications and …, 2021 | 22 | 2021 |
| On COVID-19 prediction using asynchronous federated learning-based agile radiograph screening booths S Sakib, MM Fouda, ZM Fadlullah, N Nasser ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 22 | 2021 |
| Optimal channel selection in hybrid RF/VLC networks: A multi-armed bandit approach MM Fouda, S Hashima, S Sakib, ZM Fadlullah, K Hatano, X Shen IEEE Transactions on Vehicular Technology 71 (6), 6853-6858, 2022 | 18 | 2022 |
| A rigorous analysis of biomedical edge computing: An arrhythmia classification use-case leveraging deep learning S Sakib, MM Fouda, ZM Fadlullah 2020 IEEE international conference on internet of things and intelligence …, 2021 | 15 | 2021 |
| A lightweight hierarchical AI model for UAV-enabled edge computing with forest-fire detection use-case MM Fouda, S Sakib, ZM Fadlullah, N Nasser, M Guizani IEEE Network 36 (6), 38-45, 2022 | 13 | 2022 |
| Species identification using DNA barcode sequences through supervised learning methods M Emu, S Sakib 2019 International Conference on Electrical, Computer and Communication …, 2019 | 12 | 2019 |
| Deep learning models for magnetic cardiography edge sensors implementing noise processing and diagnostics S Sakib, MM Fouda, M Al-Mahdawi, A Mohsen, M Oogane, Y Ando, ... IEEE Access 10, 2656-2668, 2021 | 10 | 2021 |
| Noise-removal from spectrally-similar signals using reservoir computing for MCG monitoring S Sakib, MM Fouda, M Al-Mahdawi, A Mohsen, M Oogane, Y Ando, ... ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 8 | 2021 |
| Harnessing artificial intelligence for secure ECG analytics at the edge for cardiac arrhythmia classification S Sakib, MM Fouda, ZM Fadlullah Secure Edge Computing, 137-153, 2021 | 5 | 2021 |
| Ketos—A deep learning package for creating acoustic detectors and classifiers OS Kirsebom, F Frazao, B Padovese, S Sakib, S Matwin The Journal of the Acoustical Society of America 150 (4_Supplement), A164-A164, 2021 | 3 | 2021 |
| A novel hybrid swarm intelligence algorithm combining modified artificial bee colony and firefly algorithms S Sakib, M Emu, SMR Chowdhury, MS Alam Proceedings of International Joint Conference on Computational Intelligence …, 2020 | 2 | 2020 |
| ABC-T: modified artificial bee colony algorithm with parameter tuning for continuous function optimization S Sakib, M Emu International Journal of Applied Information Systems 12 (17), 1-7, 2018 | 2 | 2018 |
| MERIDIAN open-source software for deep learning-based acoustic data analysis OS Kirsebom, F Frazao, B Padovese, S Sakib, Y Su, S Matwin The Journal of the Acoustical Society of America 151 (4), A27-A27, 2022 | 1 | 2022 |
| Towards designing AI-aided lightweight solutions for key challenges in sensing, communication and computing layers of IoT: smart health use-cases S Sakib | 1 | 2021 |
