| A two-layer lstm deep learning model for epileptic seizure prediction SM Varnosfaderani, R Rahman, NJ Sarhan, L Kuhlmann, E Asano, A Luat, ... 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 17 | 2021 |
| Comprehensive analysis of EEG datasets for epileptic seizure prediction R Rahman, SM Varnosfaderani, O Makke, NJ Sarhan, E Asano, A Luat, ... 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 15 | 2021 |
| Analysis of artifacts removal techniques in EEG signals for energy-constrained devices I McNulty, SM Varnosfaderani, O Makke, NJ Sarhan, E Asano, A Luat, ... 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS …, 2021 | 5 | 2021 |
| Hardware Implementation of a High Efficiency and High-Speed Squaring Architecture SM Varnosfaderani, B Rashidi, M Alhawari European Journal of Information Technologies and Computer Science 2 (4), 1-4, 2022 | 1 | 2022 |
| A Self-Aware Power Management Model for Epileptic Seizure Systems Based on Patient-Specific Daily Seizure Pattern SM Varnosfaderani, R Rahman, NJ Sarhan, M Alhawari 2023 International Conference on Microelectronics (ICM), 91-95, 2023 | | 2023 |
| Artifacts Removal Techniques for the European iEEG Dataset SM Varnosfaderani, I McNulty, NJ Sarhan, M Alhawari 2023 IEEE 66th International Midwest Symposium on Circuits and Systems …, 2023 | | 2023 |
| Epilepsy Prediction Based on Deep Learning Techniques SM Varnosfaderani Wayne State University, 2023 | | 2023 |
Mohammad AlhawariAssistant Professor at Wayne State UniversityE-mail confirmado em wayne.edu
