Abstract Unmanned Aerial Vehicles (UAVs) have become an integral part of modern smart
cities and systems. However, the proliferation of UAVs has also brought a significant security …

Today, unmanned aerial vehicles (UAVs) are very popular in military and commercial
applications as well as academic research. Flying ad hoc network (FANET) is a new type of …

Unmanned Aerial Vehicles (UAVs) have gained popularity across academia and various
industries due to their ability to operate in challenging and complex environments. They are …

Flying ad hoc networks (FANETs) tackle diverse challenges, for example, dynamic
topological structure, high mobility of nodes, low density, and energy restrictions. These …

The flying ad hoc network (FANET) is an emerging network focused on unmanned aerial
vehicles (UAVs) that has attracted the attention of researchers around the world. Due to the …

Flying ad hoc networks (FANETs) belong to the family of mobile ad hoc networks (MANETs).
They have gained high popularity due to their extensive applications in various industries …

Vehicles (UAV) can be done by utilizing Deep Learning. Deep Learning can be used to
automatically detect harmed or unauthorized objects near the pipeline for further action by …

Deep reinforcement learning (DRL) is a prevalent learning method in robotics. DRL is
commonly applied in real-world scenarios, such as learning motion behavior in rough …

Unmanned Aerial Vehicle (UAV) swarms have emerged as a promising technology for
various applications, such as delivery, surveillance, and infrastructure inspection. An …

The issue of cybersecurity has gained significant prominence in the context of safeguarding
the privacy and integrity of information, especially with the increasing prevalence of …