Mohamed M. Dessouky

Orcid: 0000-0003-2609-2225

According to our database1, Mohamed M. Dessouky authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
EEG seizure detection: concepts, techniques, challenges, and future trends.
Multim. Tools Appl., November, 2023

A survey on traditional and deep learning copy move forgery detection (CMFD) techniques.
Multim. Tools Appl., September, 2023

2022
Fatigue State Detection for Tired Persons in Presence of Driving Periods.
IEEE Access, 2022

2021
Deep learning based algorithm (ConvLSTM) for Copy Move Forgery Detection.
J. Intell. Fuzzy Syst., 2021

Coronavirus Pandemic (COVID-19): Emotional Toll Analysis on Twitter.
Int. J. Semantic Web Inf. Syst., 2021

Automated seizure diagnosis system based on feature extraction and channel selection using EEG signals.
Brain Informatics, 2021

A Survey on Deep Learning and Machine Learning for COVID-19 Detection.
Proceedings of the ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai United Arab Emirates, December 15, 2021

2020
A novel deep learning framework for copy-moveforgery detection in images.
Multim. Tools Appl., 2020

SLIM: A Lightweight Block Cipher for Internet of Health Things.
IEEE Access, 2020

2019
Two stages object recognition based copy-move forgery detection algorithm.
Multim. Tools Appl., 2019

Non-parametric spectral estimation techniques for DNA sequence analysis and exon region prediction.
Comput. Electr. Eng., 2019


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