… 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 …

… dynamic reconfiguration, and intelligent decision-making. The AI technologies will allow …
However, we cannot deny that AI technologies still have their limitations when they are …

… All these AI techniques involve self optimization, self monitoring, … ad hoc cognitive radio
networks used in emergency ad hoc conditions. In the following chapters various AI techniques …

… Mobile ad hoc networks (MANET) have revolutionized our culture … method to transform
nodes in the network to intellectual and intelligent can be hypothesized on artificial intelligence (AI…

… most complex problems of ad-hoc networks in a satisfactory … of ad-hoc networks using
bio-inspired Swarm Intelligence (SI)… ACO) technique, a SI technique, for optimal routing in ad-hoc …

… The latest developments in the AI techniques have opened … for AI, and then provide an
overview into the data-driven AI use … detection in vehicular ad hoc networks,’’ in Proc. Int. Conf. …

… Then, we will support these AI-based methodologies with DT technology. This proposed
complete management model increased the packet delivery success of AANETs with reduced …

… is known as an artificial intelligence or simply AI-enabled … via a supervised machine
learning technique support vector … Thus, an ad hoc divergence criterion for an AG-IoT device in …

… derived from post-hoc explainability methods in post-model … that machine learning post-hoc
explanation methods cannot … the use of post-hoc explanatory methods is useful in many …

… clustering techniques utilized for data clustering in AANETs and ad hoc networks. This …
artificial intelligence (AI) may be utilized to improve the efficiency and performance of ad hoc …