Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …

Navigation is a fundamental problem of mobile robots, for which Deep Reinforcement
Learning (DRL) has received significant attention because of its strong representation and …

UAVs are increasingly incorporated in a wide range of domains such as disaster
management and rescue missions. UAV path planning deals with finding the most optimal or …

Path planning remains a challenge for Unmanned Aerial Vehicles (UAVs) in dynamic
environments with potential threats. In this paper, we have proposed a Deep Reinforcement …

Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …

Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for
the next-generation wireless communication networks. Their mobility and their ability to …

Underwater salient object detection (USOD) attracts increasing interest for its promising
performance in various underwater visual tasks. However, USOD research is still in its early …

Explore foundational and advanced issues in UAV cellular communications with this cutting-
edge and timely new resource UAV Communications for 5G and Beyond delivers a …

Abstract In recent years, Unmanned Aerial Vehicles (UAVs) are widely utilized in precision
agriculture, such as tree plantations. Due to limited intelligence, these UAVs can only …

Abstract Fixed-Wing UAVs (Unmanned Aerial Vehicles) flocking is still a challenging
problem due to the kinematics complexity and environmental dynamics. In this paper, we …