… Abdulghfoor et al. in [40] introduced the concepts of modeling resource allocation in ad hoc
… used to design efficient distributed algorithm in ad hoc cognitive radio networks whereas its …

… optimum route among the available routes during mobile ad hoc networks routing process.
Therefore, the artificial immune system was applied to select the best, optimum route. Three …

… artificial intelligence, fuzzy logic also finds applications in fields as varied as robotics, seismology,
medicine, and even routing in ad hoc … in proposing an ad hoc network routing protocol …

… artificial intelligence techniques; especially meta-heuristics, evolutionary optimization, machine
learning … coverage solutions, better than other methods. Through experimental validation, …

… is the process of selecting paths in a network to send network traffic. Routing in ad hoc
networks is … So we need an artificial intelligence technique like Fuzzy logic or PSO to select the …

… So the paper scopes in developing an intelligent traffic control device model using the adhoc
… for the cars with the capability of the self-driving built with the artificial intelligence enabled …

Nowadays, because of recent achievements in wireless technology and the need for pervasive
usage of services, wireless networks usage have been soared widely. In addition, Adhoc …

… Reinforcement learning methods can be used to control both … learning methods to the
mobilized ad-hoc networking … the mobile nodes in our ad-hoc network are embedded with these …

… Our somewhat hierarchical organization of problem-solvers and models seems a natural ,
even if ad hoc , solution to orgahizing complex behavior. Are there alternatives? Will the use of …

… We design a transport protocol that uses artificial neural networks (ANNs) to adapt the audio
… We select a simple machine learning approach that is sufficient – an artificial neural network …