Towards Enhancing the Performance of Parallel FP-Growth on Spark. - Amr Essam; Manal A. Abdel-Fattah; Laila Abdelhamid (IEEE Access, 2022)

SA-PSO-GK++: A New Hybrid Clustering Approach for Analyzing Medical Data. - Amani Abdo; Omnia Abdelkader; Laila Abdel-Hamid (IEEE Access, 2024)

An Optimized Hybrid Approach for Feature Selection Based on Chi-Square and Particle Swarm Optimization Algorithms. - Amani Abdo; Rasha Mostafa; Laila Abdel-Hamid (Data, 2024)

A Model for Enhancing Unstructured Big Data Warehouse Execution Time. - Marwa Salah Farhan; Amira Youssef; Laila Abdel-Hamid (Big Data Cogn. Comput., 2024)

Multi-modal hybrid hierarchical classification approach with transformers to enhance complex human activity recognition. - Mustafa Ezzeldin; Amr S. Ghoneim; Laila Abdel-Hamid; Ayman Atia (Signal Image Video Process., 2024)

Fusing CNNs and attention-mechanisms to improve real-time indoor Human Activity Recognition for classifying home-based physical rehabilitation exercises. - Moamen Zaher; Amr S. Ghoneim; Laila Abdel-Hamid; Ayman Atia (Comput. Biol. Medicine, 2025)

Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets. - Moamen Zaher; Amr S. Ghoneim; Laila Abdel-Hamid; Ayman Atia (Multim. Tools Appl., 2025)

Rehabilitation monitoring and assessment: a comparative analysis of feature engineering and machine learning algorithms on the UI-PRMD and KIMORE benchmark datasets. - Moamen Zaher; Amr S. Ghoneim; Laila Abdelhamid; Ayman Atia (J. Inf. Telecommun., 2025)