Publications by authors named "Nora El-Rashidy"

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Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression.
Zainab H Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy

Sci Rep· July 2025

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Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models.
Esraa Hassan, Sarah Abu Ghazalah, Nora El-Rashidy, Tarek Abd El-Hafeez, Mahmoud Y Shams

Front Plant Sci· June 2025

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Position-context additive transformer-based model for classifying text data on social media.
M M Abd-Elaziz, Nora El-Rashidy, Ahmed Abou Elfetouh, Hazem M El-Bakry

Sci Rep· March 2025

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Predecting power transformer health index and life expectation based on digital twins and multitask LSTM-GRU model.
Nora El-Rashidy, Yara A Sultan, Zainab H Ali

Sci Rep· January 2025

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ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory.
Wael Alosaimi, Hager Saleh, Ali A Hamzah, Nora El-Rashidy, Abdullah Alharb

Front Artif Intell· July 2024

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ViT-PSO-SVM: Cervical Cancer Predication Based on Integrating Vision Transformer with Particle Swarm Optimization and Support Vector Machine.
Abdulaziz AlMohimeed, Mohamed Shehata, Nora El-Rashidy, Sherif Mostafa, Amira Samy Talaat

Bioengineering (Basel)· July 2024

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Swin-GA-RF: genetic algorithm-based Swin Transformer and random forest for enhancing cervical cancer classification.
Manal Abdullah Alohali, Nora El-Rashidy, Saad Alaklabi, Hela Elmannai, Saleh Alharbi

Front Oncol· July 2024

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Deep Learning-Based Approaches for Enhanced Diagnosis and Comprehensive Understanding of Carpal Tunnel Syndrome.
Marwa Elseddik, Khaled Alnowaiser, Reham R Mostafa, Ahmed Elashry, Nora El-Rashidy

Diagnostics (Basel)· October 2023

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An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model.
Naeem Ullah, Javed Ali Khan, Sultan Almakdi, Mohammed S Alshehri, Mimonah Al Qathrady, Nora El-Rashidy

Front Plant Sci· October 2023

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Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning.
Abdulaziz AlMohimeed, Hager Saleh, Nora El-Rashidy, Redhwan M A Saad, Shaker El-Sappagh

Diagnostics (Basel)· June 2023

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Exploring the effects of pandemics on transportation through correlations and deep learning techniques.
Samah A Gamel, Esraa Hassan, Nora El-Rashidy, Fatma M Talaat

Multimed Tools Appl· June 2023

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Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence.
Hela Elmannai, Nora El-Rashidy, Ibrahim Mashal, Manal Abdullah Alohali, Sara Farag

Diagnostics (Basel)· April 2023

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An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models.
Nora El-Rashidy, Ahmed Sedik, Ali I Siam, Zainab H Ali

Neural Comput Appl· March 2023

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Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification.
Ahmed M Elshewey, Mahmoud Y Shams, Nora El-Rashidy, Abdelghafar M Elhady, Samaa M Shohieb

Sensors (Basel)· February 2023

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A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network.
Naeem Ullah, Javed Ali Khan, Shaker El-Sappagh, Nora El-Rashidy, Mohammad Sohail Khan

Diagnostics (Basel)· January 2023

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Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques.
Marwa Elseddik, Reham R Mostafa, Ahmed Elashry, Nora El-Rashidy, Shaker El-Sappagh

Diagnostics (Basel)· January 2023

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Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic.
Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, Eslam Amer, Farman Ali

Diagnostics (Basel)· June 2021

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Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges.
Nora El-Rashidy, Shaker El-Sappagh, S M Riazul Islam, Hazem M El-Bakry, Samir Abdelrazek

Diagnostics (Basel)· March 2021

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