… This paper proposes a binary coded artificial bee colony (BABC) algorithm for tackling the
spanning tree construction problem. A two-element variation technique is designed to keep …

… the localization process. Our algorithm is neither cluster based nor hierarchical. As mentioned
before, our approach handles some of the important problems in mobile ad hoc networks …

… Artificial Intelligence (AI) in learning-based networking has gained momentum to harness the
learning power of cognizant nodes to make more intelligent … However, most of the methods …

… The UAV ad hoc networks considered in this work generally refer to a network that consists
of a ground … , access control, the Internet of Things security, and artificial intelligence security. …

… In this paper, we propose to investigate the use of an artificial intelligence based learning
technique to explore this difficult design space. The grammatical evolution (GE) technique …

… A computer-based approach called machine learning (ML) finds … of an artificial neural
network (ANN), a multilayer perceptron (MLP) is developed from one of the early neural network …

… A vehicular ad hoc network (VANET) is a type of mobile ad hoc networks (MANETs) in the
vehicular environment. With the rising demand of convenient, safe, and efficient transportation, …

… The normal behavior for important features in the ad hoc network is constructed in the first
… in artificial intelligent and distributed systems. Distributed artificial intelligence concept is a …

… ; thus, Machine learning and Deep learning contribute to enhance. We offer a detailed
assessment of Artificial intelligence … In [13], The two-tier VANET/p2p technique is essentially the …

… by incorporating artificial intelligence (AI) and machine learning (… methods with simple
request-response architecture are more appropriate for the prediction problem in stochastic ad hoc …