| Low-power hardware implementation of a support vector machine training and classification for neural seizure detection H Elhosary, MH Zakhari, MA Elgammal, MA Abd El Ghany, KN Salama, ... IEEE transactions on biomedical circuits and systems 13 (6), 1324-1337, 2019 | 35 | 2019 |
| Hardware acceleration of high sensitivity power-aware epileptic seizure detection system using dynamic partial reconfiguration H Elhosary, MH Zakhari, MA Elgammal, KAH Kelany, MA Abd El Ghany, ... IEEE Access 9, 75071-75081, 2021 | 12 | 2021 |
| Patient specific epileptic seizures prediction based on support vector machine A Gabara, R Yousri, D Hamdy, MH Zakhari, H Mostafa 2020 32nd International Conference on Microelectronics (ICM), 1-4, 2020 | 12 | 2020 |
| Hardware acceleration of dash mining using dynamic partial reconfiguration on the ZYNQ board MH Abdulmonem, J EssamEddeen, MH Zakhari, S Hanafi, H Mostafa 2020 32nd International Conference on Microelectronics (ICM), 1-4, 2020 | 4 | 2020 |
| Comparative study of hardware accelerated convolution neural network on pynq board AM Salman, AS Tulan, RY Mohamed, MH Zakhari, H Mostafa 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES …, 2020 | 3 | 2020 |
| Seizure Prediction & Segmentation Merge Yielding a Boosted Low Power Model I Alaa, N Ahmed, M Nader, A Magdy, M Ibrahim, M Khalil, MH Zakhari, ... 2019 31st International Conference on Microelectronics (ICM), 178-181, 2019 | 3 | 2019 |
| Linear and non-linear feature extraction from rat electrocorticograms for seizure detection by support vector machine HS Mohammed, HM Hassan, MH Zakhari, H Mostafa, EA Mohamad Biomedical Engineering/Biomedizinische Technik 66 (6), 563-572, 2021 | 2 | 2021 |
