… 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 …

… of machine learning (ML)… machine learning to problems in ad hoc networking. First, Section
II gives short descriptions of suitable machine learning approaches for use in wireless ad-hoc …

Vehicular Ad hoc Networks (VANETs) provide effective vehicular operation for safety as well
as greener and more efficient communication of vehicles in the Dedicated Short Range …

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 algorithms are used for clustering the large data set and multi-dimensional
features space of VANets. Generally, the machine learning … unsupervised machine learning …

… in wireless ad hoc networking that are well-suited to machine learning algorithms. New …
ad hoc network. This section describes how Warp-5 performs its machine learning duties. …

… threat base on machine learning methods. The classification is performed with several
ways of machine learning consisting of K-nearest neighbor (KNN), support vector machine (SVM), …

… In this paper, we propose a novel routing information system called the machine learning-…
units with the help of machine learning. We use machine learning to predict the moves of …

… Request route flooding attack is one of the main challenges in the security of Mobile Ad Hoc
… (FADA) for MANETs based on a machine learning approach. The algorithm relies on the …