… in vehicular networks from the networking aspect. Research topics covered in this article
include network … management, and energy efficiency in vehicular networks. The findings of this …

… the basics of vehicular networks and different types of communications. Apart from the
traditional vehicular networks, we also consider modern vehicular network architectures. We …

… of high mobility vehicular networks and motivate the use of machine learning to address the
… of machine learning, we discuss its applications to learn the dynamics of vehicular networks …

… to apply advanced machine learning into vehicular communications and networking. It …
ML-enabled evolution for vehicular networks in terms of communication, networking, and security …

… of modern vehicular Internet … networks has made it somewhat tricky to manage network
slicing efficiently. This paper also presents a proof of concept for leveraging machine learning-…

… in applying machine learning in vehicular networks and attempt … machine learning, we
present some application examples of machine learning in solving problems arising in vehicular …

… vehicular networks using machine learning. Therefore, a thorough understanding of how
machine learning … a dynamic resource allocation in vehicular networks is provided in this study. …

… We have introduced machine learning concepts to frame trust rules and Artificial Neural
Network (ANN) to selftrain the vehicular nodes to ensure reliable message propagation. …

… 2.2 Machine Learning Based IDS for Network Intrusion Detection Machine learning based
… for VANET that combines both machine learning and Dempster-Shafer theory is proposed. …

… enables machine learning integration in the communication system including the vehicular
… demand of future vehicular networks. A MEC-based framework is proposed for autonomous …