The autonomous driving industry has mushroomed over the past decade. Although
autonomous driving has undoubtedly become one of the most promising technologies of this …

Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …

This paper provides a comprehensive survey of the state-of-the-art use of Artificial
Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper …

The current advancement of robotics, especially in Cyber-Physical Systems (CPS), leads to
a prominent combination between the mining industry and connected-embedded …

This article presents an overview and analysis of the key cybersecurity problems, challenges
and requirements to be addressed in the future, which we derived through 63 interviews with …

The advent of Smart Industry 4.0 has brought about significant advances in automation,
efficiency, and productivity in industrial environments. However, these technological …

Object detection is considered as one of the most important applications of deep learning.
However, the object detection techniques lose their effectiveness and reliability when they …

The evolution of automotive technology will eventually permit the automated driving system
on the vehicle to handle all circumstances. Human occupants will be just passengers. This …

Artificial intelligence and its derivative technologies are not only playing a role in the fields of
medicine, economy, policing, transportation, and natural science computing today but also …

Autonomous Driving Systems (ADS) represent a revolutionary advancement in
transportation and offer unprecedented safety and convenience. Real-world physical attacks …