… on Artificial Intelligence (AI) techniques, eg, machine learning, bio-inspired algorithms, fuzzy
neural network and so on, because AI techniques … towards more intelligent and automatic-…

… and the evolution of radio communication technologies, future MANETs will have the opportunity
to adopt computational dense artificial intelligence (AI) approaches to address this multi-…

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

… Just to give the reader a feel for the nature of ad hoc thinklag in A1 that I believe to be
worth … , is a very important one for the representation of information in artificial intelligence. …

… recent advancement in wireless communication technology, Mobile Ad hoc NETwork (MANET)
is … The basic assumption of all ad hoc routing protocols is that all mobile nodes would be …

… Then, we develop the artificial intelligence (AI)-aided framework to address the joint privacy
… Here, we develop the practical machine learning technologies for the computation to …

… Typically, the ad-hoc retrieval task is formalized as a matching … However, we argue that the
ad-hoc retrieval task is mainly … smoothing methods for language models applied to ad hoc …

… decentralized communication technologies, emerge as pivotal … for V2V communication in
vehicular ad hoc networks. It is a … This paper proposes an AI-based IDS to identify malicious …

… First, some ad hoc methods are required for software to be music software. A C+… ad hoc
changes are domain dependent modifications of the associated paradigm of artificial intelligence…