As a form of artificial intelligence (AI) technology based on interactive learning, deep
reinforcement learning (DRL) has been widely applied across various fields and has …

Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …

Autonomous unmanned aerial vehicle (UAV) swarm networks (UAVSNs) can efficiently
perform surveillance, connectivity, computing, and energy transfer services for ground users …

Obstacle avoidance in UAV swarms is crucial for ensuring the stability and safety of cluster
flights. However, traditional methods of swarm obstacle avoidance often fail to meet the …

Efficient mission planning, including task allocation and path planning, is crucial for the
successful operation of unmanned aerial vehicles (UAVs) and connected autonomous …

The high-impact scenario of UAV live uplink streaming is gaining significant interest in
diverse applications, such as ambient monitoring, disaster rescue, and smart surveillance …

In the current era of ever-increasing data volumes and network traffic, efficient caching
mechanisms play an important role in mitigating latency, managing network workload, and …

This research aims to build Intuitive Human-Understandable AI Models, focusing on the
application and analysis of Fuzzy Neural Networks (FNNs). FNN is employed to interpret …

In the upcoming 6G era, inclusive intelligent services (IISs) that rely on integrated
communications and AI arithmetic will become the new norm. The IISs stem from numerous …

This paper deals with dynamic coverage control of anisotropic sensors with the unicycle
motion platform. By constructing the shortest coverage paths through geometric analysis, a …