… 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…

… 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 …

… incorporate artificial intelligence (AI)-based techniques into … learning techniques from the
field of AI and machine-learning … , we present for each technique discussed in this paper their …

… 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. …

… from communication networks and AI/ML research communities. On the one hand, researchers
in communication networks are tapping into ML and AI techniques to optimize network …

… xAI techniques within a human-machine teaming scenario. First, we show that xAI techniques
… induced via a collaborative AI policy abstraction affect ad hoc human-machine teaming …

… The AI methods most viable for our purposes are described. For my initial implementation,
I chose the neural network solution. Given the presence of several viable models, this choice …

… Recent progress in Artificial Intelligence (AI) techniques, the large-scale availability of
high-quality data, as well as advances in both hardware and software to efficiently process these …

… Last, a cluster structure makes an ad hoc network appear smaller and more stable in the …
Mobility-based d-hop clustering algorithm [18] partitions an ad hoc network into dhop clusters …

… (SI) is nature inspired meta-heuristics optimization techniques [44]. SI is considered as
the subset of artificial intelligence (AI) which is applicable for the decentralized and self-organized …