Prediction of Liver Diseases Based on Machine Learning Technique for Big Data. - Engy A. El-Shafeiy; Ali I. El-Desouky; Sally M. El-Ghamrawy (AMLTA, 2018)

Medical Imbalanced Data Classification Based on Random Forests. - Engy A. El-Shafeiy; Amr A. Abohany (AICV, 2020)

A clustering based Swarm Intelligence optimization technique for the Internet of Medical Things. - Engy A. El-Shafeiy; Karam M. Sallam; Ripon K. Chakrabortty; Amr A. Abohany (Expert Syst. Appl., 2021)

A new smart healthcare framework for real-time heart disease detection based on deep and machine learning. - Haitham Elwahsh; Engy A. El-Shafeiy; Saad Awadh Alanazi; Medhat A. Tawfeek (PeerJ Comput. Sci., 2021)

A new approach for cancer prediction based on deep neural learning. - Haitham Elwahsh; Medhat A. Tawfeek; A. A. Abd El-Aziz 001; Mahmood A. Mahmood; Maazen Alsabaan; Engy A. El-Shafeiy (J. King Saud Univ. Comput. Inf. Sci., 2023)

Self-Configuration Management towards Fix-Distributed Byzantine Sensors for Clustering Schemes in Wireless Sensor Networks. - Walaa M. Elsayed; Engy A. El-Shafeiy; Mohamed Elhoseny; Mohammed K. Hassan (J. Sens. Actuator Networks, 2023)

Estimation of coconut maturity based on fuzzy neural network and sperm whale optimization. - Engy A. El-Shafeiy; Amr A. Abohany; Wael M. Elmessery; Amr A. Abd El-Mageed (Neural Comput. Appl., 2023)

Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique. - Engy A. El-Shafeiy; Maazen Alsabaan; Mohamed I. Ibrahem; Haitham Elwahsh (Sensors, 2023)

Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques. - Shaymaa E. Sorour; Amr A. Abd El-Mageed; Khalied M. AlBarrak; Abdulrahman Khalid Alnaim; Abeer A. Wafa; Engy A. El-Shafeiy (J. King Saud Univ. Comput. Inf. Sci., 2024)

Deep Complex Gated Recurrent Networks-Based IoT Network Intrusion Detection Systems. - Engy A. El-Shafeiy; Walaa M. Elsayed; Haitham Elwahsh; Maazen Alsabaan; Mohamed I. Ibrahem; Gamal Farouk Elhady (Sensors, 2024)

The Potential of Deep Learning in Underwater Wireless Sensor Networks and Noise Canceling for the Effective Monitoring of Aquatic Life. - Walaa M. Elsayed; Maazen Alsabaan; Mohamed I. Ibrahem; Engy A. El-Shafeiy (Sensors, 2024)

Explainable Artificial Intelligence in Malignant Lymphoma Classification: Optimized DenseNet121 Deep Learning Approach With Particle Swarm Optimization and Genetic Algorithm. - Haitham Elwahsh; Ali Bakhiet; Omar Ibrahim Alirr; Tarek Khalifa; Maazen Alsabaan; Mohamed I. Ibrahem; Engy A. El-Shafeiy (IEEE Access, 2025)

Enhanced sentiment classification of phone brands on Twitter with a modified walrus optimizer and novel ensemble method. - Gomaa Elmokhtar; Waleed M. Mohamed; Engy A. El-Shafeiy; Eman M. G. Younis (Neural Comput. Appl., 2025)