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
A Robust Intelligent System for Detecting Tomato Crop Diseases Using Deep Learning.
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
COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models.
Comput. Biol. Medicine, 2021
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
A Survey on Blood Image Diseases Detection Using Deep Learning.
Int. J. Serv. Sci. Manag. Eng. Technol., 2020
Deep Learning in Plant Diseases Detection for Agricultural Crops: A Survey.
Int. J. Serv. Sci. Manag. Eng. Technol., 2020
Deep Transfer Learning in Diagnosing Leukemia in Blood Cells.
Comput., 2020
Cyber Security Risks in MENA Region: Threats, Challenges and Countermeasures.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019
Deep Learning Autoencoder Approach for Handwritten Arabic Digits Recognition.
CoRR, 2017
CNN for Handwritten Arabic Digits Recognition Based on LeNet-5.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2016