The introduction of deep learning (DL) technology can improve the performance of cyber–
physical systems (CPSs) in many ways. However, this also brings new security issues. To …

Air transportation communication jamming recognition model based on deep learning (DL)
can quickly and accurately identify and classify communication jamming, to improve the …

Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

In recent years, various domains have been influenced by the rapid growth of machine
learning. Autonomous driving is an area that has tremendously developed in parallel with …

Autonomous driving has witnessed rapid development with the application of artificial
intelligence technology in recent years. Lane detection is one of the tasks of environment …

Abstract Autonomous Vehicles (CAVs) are currently seen as a viable alternative to
traditional vehicles. However, CAVs will face serious cyber threats because many …

Advanced Driver Assistance Systems (ADAS) are advanced technologies that assist drivers
with vehicle operation and navigation. Recent improvements and brisk expansion in the …

Rapid developments in deep learning (DL) and the Internet-of-Things (IoT) have enabled
vision-based systems to efficiently detect fires at their early stage and avoid massive …

Deep learning networks have demonstrated outstanding performance in 2D and 3D vision
tasks. However, recent research demonstrated that these networks result in failures when …

Deep neural networks (DNNs) have achieved state-of-the-art performance in numerous
tasks involving complex analysis of raw data, such as self-driving systems and biometric …