A Simplistic Machine Learning Approach to Contact Tracing. - Carlos Gómez; Niamh Belton; Boi M. Quach; Jack Nicholls; Devanshu Anand (CoRR, 2020)

A Machine Learning Solution for Automatic Network Selection to Enhance Quality of Service for Video Delivery. - Devanshu Anand; Mohammed Amine Togou; Gabriel-Miro Muntean (BMSB, 2021)

A Machine Learning Solution to Mitigate Co-Tier Interference and Improve QoE for Video Delivery in 5G HetNets. - Devanshu Anand; Mohammed Amine Togou; Gabriel-Miro Muntean (BMSB, 2022)

A Machine Learning-based xAPP for 5G O-RAN to Mitigate Co-tier Interference and Improve QoE for Various Services in a HetNet Environment. - Devanshu Anand; Mohammed Amine Togou; Gabriel-Miro Muntean (BMSB, 2023)

A Multi-Classification Machine Learning-Based Solution to Mitigate Co-Tier Interference in 5G HetNets. - Devanshu Anand; Mohammed Amine Togou; Gabriel-Miro Muntean (ICC, 2023)

A Machine Learning Solution for Video Delivery to Mitigate Co-Tier Interference in 5G HetNets. - Devanshu Anand; Mohammed Amine Togou; Gabriel-Miro Muntean (IEEE Trans. Multim., 2023)

Enhancing QoE Diversity in HetNets Through Interference Mitigation with ML-Based xAPP in a 5G O-RAN Architecture. - Devanshu Anand; Mohammed Amine Togou; Gabriel-Miro Muntean (ICC, 2024)

A Machine Learning-based Approach for Interference Mitigation To Enhance QoS and QoE in 5G O-RAN Networks. - Devanshu Anand; Mohammed Amine Togou; Gabriel-Miro Muntean (PIMRC, 2024)