Publications by authors named "Elsayed Atlam"

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Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networks.
Mahmoud Rokaya, Dalia I Hemdan, Mohammed A Alzain, Ibrahim Gad, El-Sayed Atlam

Sci Rep· November 2025

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Deep Learning for Pathology: YOLOv8 with EigenCAM for Reliable Colorectal Cancer Diagnostics.
Mohamed Farsi, Hanaa ZainEldin, Hanaa A Sayed, Rasha F El-Agamy, El-Sayed Atlam

Bioengineering (Basel)· November 2025

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Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset.
Ahmed E Mansour Atwa, El-Sayed Atlam, Ali Ahmed, Mohamed Ahmed Atwa, Elsaid Md Abdelrahim

Diagnostics (Basel)· August 2025

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Automated identification of autism spectrum disorder from facial images using explainable deep learning models.
El-Sayed Atlam, Khulood O Aljuhani, Ibrahim Gad, Elsaid Md Abdelrahim, Ahmed E Mansour Atwa

Sci Rep· July 2025

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Machine Learning-Based Security Solutions for IoT Networks: A Comprehensive Survey.
Abdullah Alfahaid, Easa Alalwany, Abdulqader M Almars, Fatemah Alharbi, Elsayed Atlam

Sensors (Basel)· May 2025

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TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM.
Elsaid Md Abdelrahim, Hasan Hashim, El-Sayed Atlam, Radwa Ahmed Osman, Ibrahim Gad

Diagnostics (Basel)· November 2024

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Psychological problems among the university students in Saudi Arabia during the COVID-19 pandemic.
Zeinab Mohammed, Ahmed Arafa, El-Sayed Atlam, Nader El-Qerafi, Momen El-Shazly

Int J Clin Pract· November 2021

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The COVID-19 pandemic: prediction study based on machine learning models.
Zohair Malki, El-Sayed Atlam, Ashraf Ewis, Guesh Dagnew, Osama A Ghoneim

Environ Sci Pollut Res Int· August 2021

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ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound.
Zohair Malki, El-Sayed Atlam, Ashraf Ewis, Guesh Dagnew, Ahmad Reda Alzighaibi

Neural Comput Appl· October 2020

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Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches.
Zohair Malki, El-Sayed Atlam, Aboul Ella Hassanien, Guesh Dagnew, Mostafa A Elhosseini

Chaos Solitons Fractals· September 2020

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