… work suggests a novel machine learning-based algorithm … must be used in the machine
learning model for improved QoS … and parameters for machine learning that allow the system to …

… proposed a machine learning based intrusion detection system in the ad hoc network where
… Machine learning techniques are applied to this set of data which work in the supervised …

… intrusion detection and routing in ad hoc networks in wireless MANET networks using
machine learning techniques. The MANETs are composed of several ad-hoc nodes that are …

… ad-hoc nature of model building brings to light an important and little-studied problem for
machine learning … storing and indexing large numbers of machine learning models so they may …

… between node misconduct in ad hoc networks by applying machine learning to detect the …
a safety ratio in ad hoc networks, as they compared the support vector machine (SVM) and the …

… challenges of Vehicular Ad Hoc Networks (VANET) is the … (BADA) based on a machine
learning approach. In VANETs, it … the k-Nearest Neighbors machine learning algorithm to identify …

… Over the past few decades, Vehicular Ad hoc Networks have attracted the attention of … To
this end, in this manuscript, machine learning has been employed to compute the aggregate …

… This section includes previous strategies for developing machine learning models as well …
control strategy for vehicular ad hoc networks using a machine learning clustering algorithm," …

… 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 …

… Machine learning (ML) will improve the outcomes through the use of methods that … of
machine learning techniques for achieving privacy preservation in vehicular ad hoc networks (…