… machine learning to increase VANET efficiency, paying special emphasis to communication,
safety, and traffic. We analyse the convergence of machine learning and … machine learning …

… detection in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider
both normal and adversarial attack perspectives simultaneously in Machine Learning (ML…

… network have different types due to their characteristics and function in the ad hoc network
… ad hoc routing protocols. When three different ad hoc routings are applied, the flying ad hoc …

… Features recognition has thus far been used in comparable circumstances, such as
protecting various sensors and ad hoc network protocols. In such a setting, relays are typically …

… Machine learning (ML) is a preferred method for dealing with this kind of dynamicity. It is
possible to define machine learning (… of the most popular machine learning (ML) approaches for …

… and machine learning techniques to … machine learning techniques for misbehavior detection.
Accordingly, we present a scheme that combines statistical modeling and machine learning …

… State – Mobile ad hoc networks generally have three states – … and different parameters
of ad-hoc network as attribute … Firstly we described what is machine learning and the type of …

… Machine learning (ML) is a significant field of artificial intelligence (AI), which creates … This
article proposes a fuzzy c-means machine learning-based dynamic clustering algorithm (DCA) …

… In vehicular ad hoc networks (VANETs), the frequent change … In this article, a novel machine
learning architecture using … then it presents a machine learning algorithms for improving the …

… Researchers use machine learning to solve issues with temporary networks and different
mobile ad hoc network … Many machine learning techniques that are used in wireless ad …