Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …

Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …

This review paper provides insights into optimization strategies for Unmanned Aerial
Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning …

With the advancement of remote sensing technology, the demand for the accurate
monitoring and tracking of various targets utilizing unmanned aerial vehicles (UAVs) is …

The advent of communication technologies marks a transformative phase in critical
infrastructure construction, where the meticulous analysis of failures becomes paramount in …

In this thesis, we explore the development of autonomous tracking and interception
strategies for single and multiple fixed-wing Unmanned Aerial Vehicles (UAVs) pursuing …