Mohamed Loey
Orcid: 0000-0002-3849-4566
According to our database1,
Mohamed Loey
authored at least 15 papers
between 2016 and 2024.
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Bibliography
2024
A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset.
Cogn. Comput., July, 2024
2022
Int. J. Softw. Sci. Comput. Intell., 2022
A deep learning semantic segmentation architecture for COVID-19 lesions discovery in limited chest CT datasets.
Expert Syst. J. Knowl. Eng., 2022
Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data.
Comput. Biol. Medicine, 2022
A comprehensive survey of recent trends in deep learning for digital images augmentation.
Artif. Intell. Rev., 2022
COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning Methods.
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022
2021
COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models.
Comput. Biol. Medicine, 2021
2020
Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning.
Symmetry, 2020
Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining Techniques.
Symmetry, 2020
Int. J. Serv. Sci. Manag. Eng. Technol., 2020
Int. J. Serv. Sci. Manag. Eng. Technol., 2020
2019
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019
2017
CoRR, 2017
2016
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2016