Unmanned aerial vehicles (UAVs) can help facilitate cost-effective and flexible service
provisioning in future smart cities. Nevertheless, UAV applications generally suffer severe …

UAVs have found their applications in numerous applications from recreational activities to
business in addition to military and strategic fields. However, research on UAVs is not going …

Unmanned aerial vehicles (UAVs) have emerged as a promising technology to provide low-
latency mobile edge computing (MEC) services. To fully utilize the potential of UAV-assisted …

Unmanned aerial vehicles (UAVs) have emerged as a promising technology to provide low-
latency mobile edge computing (MEC) services. To fully utilize the potential of UAV-assisted …

Autonomous Unmanned Aerial Vehicles (UAVs) have become essential tools in defense,
law enforcement, disaster response, and product delivery. These autonomous navigation …

Aerial computing is gradually playing an essential role in edge and fog computing
paradigms by virtue of mobility, availability, scalability, flexibility, and simultaneity, where the …

In safeguarding mission-critical systems, such as Unmanned Aerial Vehicles (UAVs),
preserving the privacy of path trajectories during navigation is paramount. While the …

In recent years, cloud computing has been widely adopted due to its high scalability and low
development and operational costs; however, privacy and intellectual property concerns …

In edge computing, a reasonable edge resource bidding mechanism can enable edge
providers and users to obtain benefits in a relatively fair fashion. To maximize such benefits …

Machine Learning (ML) can be broadly defined as empowering machines with large
datasets to analyze and make informed decisions. As ML is integrated into real-world …