… of intelligent solutions for traffic safety, convenience, and effectiveness. Artificial Intelligence
(… strong potential to help enhance conventional data-driven methods. In the area of Vehicular …

… Mobile Ad-Hoc Network (MANET)-based IoT model using the concept of artificial intelligence…
This article introduces Ad-hoc On-Demand Distance Vector (AODV), a new updated routing …

… The routing process in these networks is a challenging task due to rapid topology changes…
ad hoc mode and their cooperation with vehicles in VANETs are studied to help in the process …

… machine learning, the authors of this study provide a novel security mechanism for an Internet
of Things model that is built on a mobile ad hoc … this, the development of a technique that is …

… In this paper, a new misbehavior detection model is proposed based on Artificial Neural
Network (ANN) techniques as machine learning techniques. In particular, the feed forward and …

… potential for intelligent solutions in the domains of traffic safety, convenience and efficiency.
The utilization of Artificial Intelligence (… data-driven methodologies. In the domain of Vehicular …

… Artificial Intelligence (AI) chips integrated into the vehicles enable the vehicle to navigate roads.
This paper provides insight into the machine learning … Various ad-hoc routing techniques …

… unsupervised learning methodologies could also be used for AANET topology formation.
Here, we introduce the Self-Organizing Maps (SOMs), an artificial neural network based on …

… , the workflow of the proposed approach, the result obtained … of vehicular ad hoc network
system. This paper contributes. … of the machine learning algorithms is artificial neural network (…

… Section 3 presents the methodology and approach used in this study, including the design
and implementation of AI algorithms for threat detection and anomaly detection. Section 4 …