There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones,
in different applications such as packages delivery, traffic monitoring, search and rescue …

Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently
exploited to support a wide range of applications. The features include low maintenance …

Deep learning-based Wi-Fi indoor fingerprint localization, which requires a large received
signal strength (RSS) dataset for training, has been widely studied. Federated learning (FL) …

The widespread adoption of the fifth generation (5G) of cellular networks has brought new
opportunities for localization-based services. High-precision positioning use cases and …

Dynamic radar networks (DRNs), usually composed of flying unmanned aerial vehicles
(UAVs), have recently attracted great interest for time-critical applications, such as search …

This paper provides a comprehensive overview of the evolution of Machine Learning (ML),
from traditional to advanced, in its application and integration into unmanned aerial vehicle …

In this paper, we consider a scenario with one UAV equipped with a ULA, which sends
combined information and sensing signals to communicate with multiple GBS and, at the …

In this paper, we consider an integrated sensing and communication (ISAC) system with
wireless power transfer (WPT) where multiple unmanned aerial vehicle (UAV)-based radars …

The recent development of Unmanned aerial vehicle (UAV) technology and the UAVs'
unique features offered the impetus for new UAV-based applications and services. The …

We consider a network of unmanned aerial vehicles (UAVs) for a search-and-rescue
operations involving both detection of multiple targets and mapping of environment, where …