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

… 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 …

… of the major concepts of machine learning, we discuss its applications to learn the dynamics
of vehicular networks and make informed decisions to optimize network performance. In …

… In Section IV, we describe the applications of machine learning in vehicular network for …
Then, we investigate the machine learning based approaches for intelligent vehicular networking …

… 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 …

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

… 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. …

… Among them, machine learning (ML)-based methods are the … Several vehicular network
applications will be able to … three times higher) in a sparse vehicular network (low vehicle density)…

… in applying machine learning in vehicular networks and … in applying machine learning in
vehicular networks to facilitate … resource management using reinforcement learning in detail. …

… vehicular networking is still being debated. The dynamic characteristics of vehicular networks…
and ensure reliable data transfer between the vehicular nodes. In order to ensure road …