… during the learning process. These weights are automatically adjusted during training
according to a specified learning rule until the artificial neural network performs the desired task …

… Attributes of an individual are inferred based on automated statistical methods, not reality.
Modeling uses unrepresentative datasets or classifies by using arbitrary parameters, etc. …

… Ad hoc networks have been a fundamental building block for M2M communications that can
be … Routing is a challenging issue in ad hoc M2M communication networks due to a large …

… ad hoc team agent, and Section 4 fully specifies the on-line behavior planning algorithms
that we evaluate for the purposes of ad hoc … However, this approach still requires the ad hoc …

… This paper examines the problem of distributed intrusion detection in Mobile Ad-Hoc
Networks (MANETs), utilizing ensemble methods. A three-level hierarchical system for data …

… is the process of forming control decisions to ensure the operation of the ground-air
communication network routing subsystem based on neural network … Use of artificial intelligence …

… opportunities for intelligent traffic safety, comfort, and efficiency solutions. Artificial intelligence
(AI) … approach for Sybil attack detection in vehicular ad hoc networks,’’ in Proc. Int. Conf. …

… A research project applying artificial intelligence techniques to the development of integrated
… A novel feature of our approach is the use of a formal theorem-proving system to plan the …

… techniques and … machine learning methods which improve route discovery and provides
Quality of Service (QoS) is shown in Figure 3. In this phase, reinforcement learning techniques …

… have proposed many techniques to … Artificial Intelligence (state-of-art) to ensure safe and
reliable IV (Inter-vehicles) communications. The classification, the Artificial Intelligent methods, …