… In this context, the machine-learning (ML) framework is … identified when UAVs are used for
communication purposes. In … been used on UAV-based communications for improving various …

… , machine learning (ML) has been widely used in overcoming the challenges that UAV faces
in mobility, communication … This paper will mainly focus on the proposed UAV-centric ML …

… used in UAV operations and communications and identify the … key components of UAV
operations and communications to … -aided automated UAV operations and communications. It is …

… machine learning (ML) framework is proposed for enabling a predictive, efficient deployment
of unmanned aerial vehicles (UAVs), … Then, the optimal deployment of UAVs is studied with …

… in 5G and Beyond communications. The UAVs-assisted next-generation communications are
… intelligence (AI), machine learning (ML), deep reinforcement learning (DRL), mobile edge …

… Abstract—The unmanned aerial vehicle (UAV)-based wireless communication system is …
a multi-UAV communications system, we propose to utilize machine learning-based approach …

… UAV communications more vulnerable to privacy attacks. In this paper, we present the machine
learning (ML)-based attack of UAV-… can help decrypt the UAV messages. By simulations, …

This paper applies Machine Learning (ML) to predict the quality of Air-to-Ground (A2G) links
performance for Unmanned Aerial Vehicles Base Stations (UAV-BSs) services. UAV-BSs …

… BS and UAV operators. The proposed contract approach yields small communication overhead
… payoff of each UAV, and each UAV will truthfully reveal its communication capability by …

… UAVs and UAV based communications. We provide a brief survey of recent work done to
overcome these three challenges in UAVs. … machine learning algorithms in the context of UAVs. …