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Mustapha Aatila
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2020 – today
- 2024
- [j4]Chafik Baidada, Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Younes Ommane, Abderrahim Houlali:
Flexible Ureteroscopy Lithotripsy Operative Time Prediction Model for the Treatment of Kidney Stones. Int. J. Online Biomed. Eng. 20(5): 101-119 (2024) - [j3]My Driss Laanaoui, Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Okacha Najia, Assouma Roukéya, Abou Elkhir Mohamed:
Version [1.1.0]- [DLDiagnosis: A mobile and web application for diseases classification using Deep Learning]. SoftwareX 26: 101745 (2024) - 2023
- [j2]Mustapha Aatila, Abdellah Kadem, Mohamed Lachgar, Khalid Lamhaddab, Hamid Hrimech, Ali Kartit:
DLDiagnosis: A mobile and web application for diseases classification using Deep Learning. SoftwareX 23: 101488 (2023) - 2022
- [j1]Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Ali Kartit:
Transfer Learning in Keratoconus Classification. Int. J. Online Biomed. Eng. 18(15): 43-58 (2022) - [c2]Hachefi Fatima Ezzahra, Mustapha Aatila, Mohamed Lachgar, Abdelmounaïm Abdali:
Predicting smart grid stability using machine learning algorithms. ISIVC 2022: 1-6 - 2020
- [c1]Mustapha Aatila, Mohamed Lachgar, Ali Kartit:
An Overview of Gradient Descent Algorithm Optimization in Machine Learning: Application in the Ophthalmology Field. SADASC 2020: 349-359
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last updated on 2024-10-07 22:19 CEST by the dblp team
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