Non-parametric spectral estimation techniques for DNA sequence analysis and exon region prediction. - Ahmed M. Dessouky; Taha E. Taha; Mohamed M. Dessouky; Ashraf A. Eltholth; Emadeldeen Hassan; Fathi E. Abd El-Samie (Comput. Electr. Eng., 2019)

Two stages object recognition based copy-move forgery detection algorithm. - Mohamed A. Elaskily; Heba A. Elnemr; Mohamed M. Dessouky; Osama S. Faragallah (Multim. Tools Appl., 2019)

SLIM: A Lightweight Block Cipher for Internet of Health Things. - Bassam Aboushosha; Rabie A. Ramadan; Ashutosh Dhar Dwivedi; Ayman El-Sayed; Mohamed M. Dessouky (IEEE Access, 2020)

A novel deep learning framework for copy-moveforgery detection in images. - Mohamed A. Elaskily; Heba A. Elnemr; Ahmed Sedik; Mohamed M. Dessouky; Ghada M. El Banby; Osama A. Elshakankiry; Ashraf A. M. Khalaf; Heba Kamal Aslan; Osama S. Faragallah; Fathi E. Abd El-Samie (Multim. Tools Appl., 2020)

A Survey on Deep Learning and Machine Learning for COVID-19 Detection. - Mohamed M. Dessouky; Sahar F. Sabbeh; Boushra Alshehri (ICFNDS, 2021)

Automated seizure diagnosis system based on feature extraction and channel selection using EEG signals. - Athar A. Ein Shoka; Monagi H. Alkinani; A. S. El-Sherbeny; Ayman El-Sayed; Mohamed M. Dessouky (Brain Informatics, 2021)

Coronavirus Pandemic (COVID-19): Emotional Toll Analysis on Twitter. - Jalal S. Alowibdi; Abdulrahman A. Alshdadi; Ali Daud; Mohamed M. Dessouky; Ali Alhazmi (Int. J. Semantic Web Inf. Syst., 2021)

Deep learning based algorithm (ConvLSTM) for Copy Move Forgery Detection. - Mohamed A. Elaskily; Monagi H. Alkinani; Ahmed Sedik; Mohamed M. Dessouky (J. Intell. Fuzzy Syst., 2021)

Fatigue State Detection for Tired Persons in Presence of Driving Periods. - Riad Alharbey; Mohamed M. Dessouky; Ahmed Sedik; Ali I. Siam; Mohamed A. Elaskily (IEEE Access, 2022)

A survey on traditional and deep learning copy move forgery detection (CMFD) techniques. - Mohamed A. Elaskily; Mohamed M. Dessouky; Osama S. Faragallah; Ahmed Sedik (Multim. Tools Appl., 2023)

EEG seizure detection: concepts, techniques, challenges, and future trends. - Athar A. Ein Shoka; Mohamed M. Dessouky; Ayman El-Sayed; Ezz El-Din Hemdan (Multim. Tools Appl., 2023)