Employing Information Theoretic Metrics with Data-Driven Occupancy Detection Approaches: A Comparative Analysis. - Aya Nabil Sayed; Ridha Hamila; Yassine Himeur; Faycal Bensaali (ICSPIS, 2022)

Blockchain-based recommender systems: Applications, challenges and future opportunities. - Yassine Himeur; Aya Nabil Sayed; Abdullah Alsalemi; Faycal Bensaali; Abbes Amira; Iraklis Varlamis; Magdalini Eirinaki; Christos Sardianos; George Dimitrakopoulos 001 (Comput. Sci. Rev., 2022)

Deep and transfer learning for building occupancy detection: A review and comparative analysis. - Aya Nabil Sayed; Yassine Himeur; Faycal Bensaali (Eng. Appl. Artif. Intell., 2022)

From time-series to 2D images for building occupancy prediction using deep transfer learning. - Aya Nabil Sayed; Yassine Himeur; Faycal Bensaali (Eng. Appl. Artif. Intell., 2023)

Optimizing Domestic Energy Consumption: A Comprehensive Plug for Enhanced Monitoring and Efficiency. - Md. Mosarrof Hossen; Aya Nabil Sayed; Faycal Bensaali; Tamim M. Al-Hasan; Munshi Sajidul Islam; Armstrong Nhlabatsi (BDCAT, 2024)

Navigating the Edge: A Comprehensive Comparison of Machine Learning Algorithms on Prominent Edge Platforms. - Aya Nabil Sayed; Tamim Mahmud Al-Hasan; Faycal Bensaali; Armstrong Nhlabatsi (ISPR (1), 2024)

A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems. - Christos Chronis; Iraklis Varlamis; Yassine Himeur; Aya Nabil Sayed; Tamim M. Al-Hasan; Armstrong Nhlabatsi; Faycal Bensaali; George Dimitrakopoulos 001 (IEEE Open J. Comput. Soc., 2024)

From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions. - Tamim M. Al-Hasan; Aya Nabil Sayed; Faycal Bensaali; Yassine Himeur; Iraklis Varlamis; George Dimitrakopoulos 001 (Big Data Cogn. Comput., 2024)

Edge AI for Internet of Energy: Challenges and perspectives. - Yassine Himeur; Aya Nabil Sayed; Abdullah Alsalemi; Faycal Bensaali; Abbes Amira (Internet Things, 2024)

Optimizing energy efficiency through precise occupancy detection: A tailored CNN architecture for smart buildings and beyond. - Aya Nabil Sayed; Sakib Mahmud; Faycal Bensaali; Muhammad E. H. Chowdhury; Yassine Himeur (Neural Comput. Appl., 2025)