… ad hoc … machine learning to complications in ad hoc networks and various protocols of
MANETs. The explanation of various machine learning approaches for use in wireless ad hoc …

Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent transportation
system (ITS) that enables vehicles to communicate over the wireless communication …

… Machine learning (ML) driven solutions have been widely used to secure wireless
communications Vehicular ad hoc … Unlike existing works, this paper applies support vector …

… in VANETs using machine learning techniques. In this paper machine learning is going to
… In this paper two types of machine learning classification techniques are used that is binary …

… artificial intelligence (AI) and machine learning (ML) in vehicular … links due to multihop ad
hoc communications and the high-… analytical compatibility-based ad hoc routing protocol that …

… ad hoc networking aspect. First, we present extensive background notions of machine learning
… Then, by adopting a bottom-up approach, we examine existing work on machine learning …

… In this study, we present a survey about Vanet Ad-hoc … machine how to benefit from data
to produce a prediction or a decision. In this section we will present some of machine learning …

… This article proposes a novel method for forecasting node mobility in ad hoc networks.
Using the proposed technique, a deep learning method comprises a single feedforward layer. …

… of Machine learning applied on different wireless Ad-hoc … and simulation used in Ad-hoc
network which enables the users … selecting best model of machine learning. This paper presents …