Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model. - Nora El-Rashidy; Shaker H. Ali El-Sappagh; Tamer AbuHmed; Samir Abdelrazek; Hazem M. El-Bakry (IEEE Access, 2020)

Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning. - Nora El-Rashidy; Tamer AbuHmed; Louai Alarabi; Hazem M. El-Bakry; Samir Abdelrazek; Farman Ali 001; Shaker H. Ali El-Sappagh (Neural Comput. Appl., 2022)

LSTM deep learning model for Alzheimer's disease prediction based on cost-effective time series cognitive scores. - Hager Saleh; Nora El-Rashidy; Tamer Abuhmed; Shaker H. Ali El-Sappagh (NILES, 2023)

A Clinical Decision Support System for Edge/Cloud ICU Readmission Model Based on Particle Swarm Optimization, Ensemble Machine Learning, and Explainable Artificial Intelligence. - Maali Alabdulhafith; Hager Saleh; Hela Elmannai; Zainab Hassan Ali; Shaker H. Ali El-Sappagh; Jong Wan Hu; Nora El-Rashidy (IEEE Access, 2023)

Explainable Artificial Intelligence of Multi-Level Stacking Ensemble for Detection of Alzheimer's Disease Based on Particle Swarm Optimization and the Sub-Scores of Cognitive Biomarkers. - Abdulaziz Almohimeed; Redhwan M. A. Saad; Sherif Mostafa; Nora El-Rashidy; Sarah Farrag; Abdelkareem Gaballah; Mohamed E. Abd Elaziz; Shaker H. Ali El-Sappagh; Hager Saleh (IEEE Access, 2023)

Identifying Hot Topic Trends in Streaming Text Data Using News Sequential Evolution Model Based on Distributed Representations. - Zohaib Ahmad Khan; Yuanqing Xia; Shahzad Ali; Javed Ali Khan; Sameh S. Askar; Mohamed Abouhawwash; Nora El-Rashidy (IEEE Access, 2023)

Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning. - Esraa Hassan; Fatma M. Talaat; Samah Adel Gamel; Samir Abdelrazek; Ahsan Aziz; Yunyoung Nam; Nora El-Rashidy (Comput. Syst. Sci. Eng., 2023)

Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification. - Ahmed M. Elshewey; Mahmoud Y. Shams; Nora El-Rashidy; Abd Elghaffar M. Elhady; Samaa M. Shohieb; Zahraa Tarek (Sensors, 2023)

Dynamic urban evaluation routing protocol for enhanced vehicle ad hoc networks. - Zainab Hassan Ali; John Zaki; Nora El-Rashidy (J. Supercomput., 2023)

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 Hassan Ali (Neural Comput. Appl., 2023)

A reliable position-based routing scheme for controlling excessive data dissemination in vehicular ad-hoc networks. - Zainab Hassan Ali; Noha A. Sakr; Nora El-Rashidy; Hesham A. Ali (Comput. Networks, 2023)

BACE1 Candidates Inhibitors for Alzheimer's Drug Discovery Using the Transformer-Only Decoder. - Mostafa Abdelaziz Elhashmy; Mostafa Hamdalla; Nora El-Rashidy (NILES, 2024)

Machine Learning Based Diagnostic Paradigm in Viral and Non-Viral Hepatocellular Carcinoma. - Arun Asif; Faheem Ahmed; Zeeshan; Javed Ali Khan; Eman Allogmani; Nora El-Rashidy; Sobia Manzoor; Muhammad Shahid Anwar (IEEE Access, 2024)

Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model. - Marghany Hassan Mohamed; Botheina Hussein Ali; Ahmed Ibrahim Taloba; Ahmad O. Aseeri; Mohamed Abd Elaziz 001; Shaker H. Ali El-Sappagh; Nora El-Rashidy (IEEE Access, 2024)

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 Alharbi; Ahmed Elaraby; Sherif Mostafa (Frontiers Artif. Intell., 2024)

SDN-based reliable emergency message routing schema using Digital Twins for adjusting beacon transmission in VANET. - Zainab Hassan Ali; Nora El-Rashidy; Mostafa A. Elhosseini; Sarah M. Ayyad (J. Netw. Comput. Appl., 2024)

Exploring the effects of pandemics on transportation through correlations and deep learning techniques. - Samah A. Gamel; Esraa Hassan; Nora El-Rashidy; Fatma M. Talaat (Multim. Tools Appl., 2024)

Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children. - Fatma M. Talaat; Zainab Hassan Ali; Reham R. Mostafa; Nora El-Rashidy (Soft Comput., 2024)

Optimizing poultry audio signal classification with deep learning and burn layer fusion. - Esraa Hassan; Samar Elbedwehy; Mahmoud Y. Shams; Tarek Abd El-Hafeez; Nora El-Rashidy (J. Big Data, 2024)

Multitask multilayer-prediction model for predicting mechanical ventilation and the associated mortality rate. - Nora El-Rashidy; Zahraa Tarek; Ahmed M. Elshewey; Mahmoud Y. Shams (Neural Comput. Appl., 2025)

Optimized ensemble deep learning approach for accurate breast cancer diagnosis using transfer learning and grey wolf optimization. - Esraa Hassan; Abeer Saber; Shaker H. Ali El-Sappagh; Nora El-Rashidy (Evol. Syst., 2025)

Genetic algorithm-based hybrid deep learning model for explainable Alzheimer's disease prediction using temporal multimodal cognitive data. - Hager Saleh; Nora El-Rashidy; Mohamed Abd Elaziz 001; Ahmad O. Aseeri; Shaker H. Ali El-Sappagh (Int. J. Data Sci. Anal., 2025)

Cloud based real-time multivariate multi-step prediction of systolic blood pressure and heart rate using temporal convolutional network and Apache Spark. - Hager Saleh; Nora El-Rashidy; Sherif Mostafa; Abdulaziz Almohimeed; Shaker H. Ali El-Sappagh; Zainab Hassan Ali (J. Big Data, 2025)