In the past two decades, there has been a rapid development in the drone industry known as
Unmanned Aerial Vehicles (UAVs). Currently, the use of commercial UAVs has increased a …

Abstract Rapid developments in Intelligent Transportation Systems (ITSs) have emerged as
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …

Collision-free distributed path planning for the swarm of unmanned aerial vehicles (UAVs) in
a stochastic and dynamic environment is an emerging and challenging subject for research …

This survey paper presents a holistic perspective on the state-of-the-art in the design of
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …

Flying Ad-Hoc Networks (FANETs) are groups of UAVs connected in an Ad-Hoc manner to
accomplish a common mission. The widespread acceptance of UAVs due to their low cost …

In this letter, the frequency selection problem in jamming environment with large number of
optional frequencies is investigated. With numerous optional actions in the wider frequency …

Unmanned Aerial Vehicles (UAVs) are being used extensively in various fields. UAVs
provide various services to users, including monitoring, logistics and sensing because of …

Active shooting (AS) violence poses a serious threat to public safety. Most importantly, this
number is increasing at an alarming rate over the last few years. Unfortunately, the …

Reinforcement learning and recurrent networks are two emerging machine-learning
paradigms. The first learns the best actions an agent needs to perform to maximize its …

Reinforcement learning is a machine-learning paradigm, which learns the best actions an
agent needs to perform to maximize its rewards in a particular environment. Research into …