Dynamic User-Centric Clustered Workplaces for COVID-19 Control Measures Based on Geofencing and Deep Learning. - Ahmed Mostafa Abdelkhalek; Noor El-Deen Magdy Mohamed; Mostafa Mahmoud Abdelhakam; Mahmoud Mohamed Elmesalawy (ICMLT, 2022)

Geofencing-based Congestion Control in Workplaces Environment using Sequential Pattern Mining. - Ahmed M. Abd El-Haleem; Mohamed G. Anany; Mostafa M. Abdelhakam; Noor El-Deen Magdy Mohamed; Mahmoud M. Elmesalawy (NILES, 2022)

A Machine Learning Approach for Movement Monitoring in Clustered Workplaces to Control COVID-19 Based on Geofencing and Fusion of Wi-Fi and Magnetic Field Metrics. - Ahmed M. Abd El-Haleem; Noor El-Deen Magdy Mohamed; Mostafa M. Abdelhakam; Mahmoud M. Elmesalawy (Sensors, 2022)

IoT Next Generation Smart Grid Meter (NGSM) for On-Edge Household Appliances Detection Based on Deep Learning and Embedded Linux. - Noor El-Deen Magdy Mohamed; Mohamed M. El-Dakroury; Abdulrahman A. Ibrahim; George A. Nfady (NILES, 2023)

AI-Enabled Smart Hybrid Energy Optimization Management System for Green Hydrogen-Based Islanded Microgrids. - Noor El-Deen Magdy Mohamed; Helmy M. El Zoghby; Mostafa M. Abdelhakam; Mahmoud M. Elmesalawy (NILES, 2024)