The continuous evolution of modern technology has led to the creation of increasingly
complex and advanced systems. This has been also reflected in the technology of …

The next wave in smart transportation is directed towards the design of renewable energy
sources that can fuel automobile sector to shift towards the autonomous electric vehicles …

This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

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 …

Unmanned Aerial Vehicles (UAVs) have proven to be a useful technology in numerous
industries including industrial control systems surveillance, law enforcement, and military …

Unsupervised learning, also known as unsupervised machine learning, analyzes and
clusters unlabeled data utlizing machine learning techniques. Without human input, these …

Autonomy has become a focal point for research and development in many industries.
Whilst this was traditionally achieved by modelling self-engineering behaviours at the …

Flight data anomaly detection plays an imperative role in the safety and maintenance of
unmanned aerial vehicles (UAVs). It has attracted extensive attention from researchers …

Unmanned Aerial Vehicles are expected to create enormous benefits to society, but there
are safety concerns in recognizing faults at the vehicle's control component. Prior studies …

Abstract The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in
recent years, leading to a surge in research on this topic that is widely represented in the …