Items where Author is "Mahyoub, M"
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Conference or Workshop Item
Mahyoub, M, Abdulhussain, SH, Natalia, F, Sudirman, S and Mahmmod, BM (2023) Abstract Pattern Image Generation using Generative Adversarial Networks. In: Proceedings - 2023 15 International Conference on Developments in eSystems Engineering, (DESE) , 2023-J. pp. 172-177. (2023 15 International Conference on Developments in eSystems Engineering, (DESE), 09-12 January 2023, Baghdad & Anbar, Iraq).
Mahyoub, M, Natalia, F, Sudirman, S, Jasim Al-Jumaily, AH and Liatsis, P (2023) Brain Tumor Segmentation in Fluid-Attenuated Inversion Recovery Brain MRI using Residual Network Deep Learning Architectures. In: Proceedings - 2023 15 International Conference on Developments in eSystems Engineering (DeSE) , 2023-J. pp. 486-491. (2023 15 International Conference on Developments in eSystems Engineering (DeSE), 09-12 January 2023, Baghdad & Anbar, Iraq).
Mahyoub, M, Natalia, F, Sudirman, S, Liatsis, P and Jasim Al-Jumaily, AH (2023) Data Augmentation Using Generative Adversarial Networks to Reduce Data Imbalance with Application in Car Damage Detection. In: Proceedings - 2023 15th International Conference on Developments in eSystems Engineering (DESE) , 2023-J. pp. 480-485. (2023 15th International Conference on Developments in eSystems Engineering (DESE), 09-12 January 2023, Baghdad & Anbar, Iraq).
Mahyoub, M, Natalia, F, Sudirman, S, Al-Jumaily, AHJ and Liatsis, P (2023) Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks. In: Proceedings - 2023 15th International Conference on Developments in eSystems Engineering (DESE) , 2023-J. pp. 469-474. (2023 15th International Conference on Developments in eSystems Engineering (DESE), 9-12 Jan. 2023, Baghdad & Anbar, Iraq).
Mahyoub, M, Natalia, F, Sudirman, S and Mustafina, J (2023) Sign Language Recognition using Deep Learning. In: Proceedings - 2023 International Conference on Developments in eSystems Engineering(DeSE) , 2023-J. pp. 184-189. (2023 15th International Conference on Developments in eSystems Engineering (DeSE), 9th Jan to 12th Jan 2023, Baghdad and Anbar, Iraq).
Thesis
Mahyoub, M (2019) A Machine Learning Classification Framework for Early Prediction of Alzheimer’s Disease. Doctoral thesis, Liverpool John Moores University.