… DESIGN OF A FORWARDING ALGORITHM BASED ON AN ARTIFICIAL NEURAL NETWORK
In this section, we summarize the process for training our artificial neural network (ANN) …

… Evolutionary computation (EC) is a broad area of artificial intelligence (AI) in which
biologically inspired optimization algorithms mimic evolutionary processes in nature. …

… INTRODUCTION Machine learning (ML) is an artificial intelligence (AI) technique used to
teach a system about the unknown and make efficient and effective decisions. The use of ML in …

… an Artificial Intelligence (AI) augmented Mobile Ad Hoc … Fuzzy Polynomial Neural Network
(CSFPNN) technique to … The framework uses the proposed approach to learn from the data …

… We have designed a method to apply an artificial immune system approach for misbehavior
detection in a mobile ad-hoc network. Our simulations show good detection and …

… top of one or many artificial intelligence techniques. In this survey, we deal particularly with
RL-based routing protocols where routing choices and/or routing parameters adjusting are …

… Although proactive routing is often seen as not the best approach for wireless ad hoc … ad
hoc network. Rather, routes are established when needed through a route discovery process in …

… In this paper machine learning method is used to detect the wormhole assault in … technique,
vehicular ad-hoc network can be made free from wormhole assault by using ML approach. …

… have proposed many techniques to … Artificial Intelligence (state-of-art) to ensure safe and
reliable IV (Inter-vehicles) communications. The classification, the Artificial Intelligent methods, …

… system in vehicular ad hoc networks,” Computers & Security, vol. 78, pp. 245–254, 2018. …
Fu, “Distributed collaborative intrusion detection system for vehicular ad hoc networks …