Fazli Wahid
| Name | Fazli Wahid |
|---|---|
| Job title | Senior Lecturer in Computer Science |
| Research institute | College of Science and Engineering |
Research outputs
A deep neural network-based approach for seizure activity recognition of epilepsy sufferers
Khurshid, D., Wahid, F., Ali, S., Gumaei, A. H., Alzanin, S. M. and Mosleh, M. A. A. 2024. A deep neural network-based approach for seizure activity recognition of epilepsy sufferers. Frontiers. 11, pp. 1-16. https://doi.org/10.3389/fmed.2024.1405848A Transfer Learning-Based Approach for Brain Tumor Classification
Bibi, N., Wahid, F., Ma, Y., Ali, S., Abbassi, I. A. and Alkhayya, A. 2024. A Transfer Learning-Based Approach for Brain Tumor Classification. IEEE Access. 12, pp. 1-21. https://doi.org/10.1109/ACCESS.2024.3425469Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification
Sheikh, R., Wahid, F., Ali, S., Alkhayyat, A., Ma, Y., Khan, J. and Lee, Y. 2025. Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification. PLOS One. 20 (9), pp. 1-40. https://doi.org/10.1371/journal.pone.0327985Energy optimization and plant comfort management in smart greenhouses using the artificial bee colony algorithm
Jawad, M., Wahid, F., Ali, S., Ma, Y., Alkhyyat, A., Khan, J. and Lee, Y. 2025. Energy optimization and plant comfort management in smart greenhouses using the artificial bee colony algorithm. Scientific Reports. 15, pp. 1-29. https://doi.org/10.1038/s41598-024-84141-5Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder
Almas, S., Wahid, F., Ali, S., Alkhyyat, A., Ullah, K., Khan, J. and Lee, Y. 2025. Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder. Scientific Reports. 15. https://doi.org/10.1038/s41598-025-85752-2285
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