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El-Sayed Atlam

Showing results (1-10 of 10) with videos related to

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Frontiers in Neuroscience|March 26, 2026
Context-aware temporal synthesis for scene, entity, and event inference from silent imageMahmoud Rokaya, Dalia I Hemdan, Mohammed A Alzain, et al.
Diagnostics (Basel, Switzerland)|December 17, 2024
TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVMElsaid Md Abdelrahim, Hasan Hashim, El-Sayed Atlam, et al.
Scientific Reports|November 13, 2025
Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networksMahmoud Rokaya, Dalia I Hemdan, Mohammed A Alzain, et al.
Chaos, Solitons, and Fractals|August 25, 2020
Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approachesZohair Malki, El-Sayed Atlam, Aboul Ella Hassanien, et al.
Scientific Reports|July 22, 2025
Automated identification of autism spectrum disorder from facial images using explainable deep learning modelsEl-Sayed Atlam, Khulood O Aljuhani, Ibrahim Gad, et al.
Diagnostics (Basel, Switzerland)|August 14, 2025
Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X DatasetAhmed E Mansour Atwa, El-Sayed Atlam, Ali Ahmed, et al.
International Journal of Clinical Practice|September 13, 2021
Psychological problems among the university students in Saudi Arabia during the COVID-19 pandemicZeinab Mohammed, Ahmed Arafa, El-Sayed Atlam, et al.
Environmental Science and Pollution Research International|April 11, 2021
The COVID-19 pandemic: prediction study based on machine learning modelsZohair Malki, El-Sayed Atlam, Ashraf Ewis, et al.
Neural Computing & Applications|November 2, 2020
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second reboundZohair Malki, El-Sayed Atlam, Ashraf Ewis, et al.
Bioengineering (Basel, Switzerland)|November 27, 2025
Deep Learning for Pathology: YOLOv8 with EigenCAM for Reliable Colorectal Cancer DiagnosticsMohamed Farsi, Hanaa ZainEldin, Hanaa A Sayed, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroscience|March 26, 2026
Context-aware temporal synthesis for scene, entity, and event inference from silent imageMahmoud Rokaya, Dalia I Hemdan, Mohammed A Alzain, et al.
Diagnostics (Basel, Switzerland)|December 17, 2024
TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVMElsaid Md Abdelrahim, Hasan Hashim, El-Sayed Atlam, et al.
Scientific Reports|November 13, 2025
Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networksMahmoud Rokaya, Dalia I Hemdan, Mohammed A Alzain, et al.
Chaos, Solitons, and Fractals|August 25, 2020
Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approachesZohair Malki, El-Sayed Atlam, Aboul Ella Hassanien, et al.
Scientific Reports|July 22, 2025
Automated identification of autism spectrum disorder from facial images using explainable deep learning modelsEl-Sayed Atlam, Khulood O Aljuhani, Ibrahim Gad, et al.
Diagnostics (Basel, Switzerland)|August 14, 2025
Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X DatasetAhmed E Mansour Atwa, El-Sayed Atlam, Ali Ahmed, et al.
International Journal of Clinical Practice|September 13, 2021
Psychological problems among the university students in Saudi Arabia during the COVID-19 pandemicZeinab Mohammed, Ahmed Arafa, El-Sayed Atlam, et al.
Environmental Science and Pollution Research International|April 11, 2021
The COVID-19 pandemic: prediction study based on machine learning modelsZohair Malki, El-Sayed Atlam, Ashraf Ewis, et al.
Neural Computing & Applications|November 2, 2020
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second reboundZohair Malki, El-Sayed Atlam, Ashraf Ewis, et al.
Bioengineering (Basel, Switzerland)|November 27, 2025
Deep Learning for Pathology: YOLOv8 with EigenCAM for Reliable Colorectal Cancer DiagnosticsMohamed Farsi, Hanaa ZainEldin, Hanaa A Sayed, et al.
Pageof 1