… In the last few decades, many researchers have focused on mobile ad hoc networks (MANETs)
as wireless networks with specific features not found in other network types. The …

… in the adversarial context. To the contrary, due to the inherent geometric ambiguity of local
post-hoc … Our analysis focuses on the draft Artificial Intelligence Act (AIA), a piece of proposed …

… Ad hoc networks don't rely on fixed infrastructure ie the MANET is an infrastructure less … for
QoS in ad-hoc multicast” journal of Engineering Applications and Artificial Intelligence, 2009. …

… use machine learning in different ways for mobile ad hoc networks. A mobile ad hoc
network (… Scenarios that might benefit from ad hoc networking technology include rescue/emergency …

… , Vehicular Ad Hoc Networks (VANETs), doppler shift mitigation, congestion management,
Artificial Intelligence (machine learning), Internet of Things (IoT) and Renewable Energies. …

… Fusion of internet of things (IoT) and artificial intelligence for smart cities has allowed structured
policy making.In particular, traffic jam is one of the serious concern in metropolitan cities. …

… In this paper we surveyed different machine learning techniques that are used in ad hoc
network to prevent malicious activities and predict the future node as per behavior or past …

… OLSR protocol using artificial immune system for optimum routing of the mobile ad hoc networks.
… This paper is organized as follows: In second Section, OLSR protocol in mobile ad hoc …

… Intrusion detection systems (IDSs) are subordinate monitor systems for mobile ad hoc networks,
since they monitor network traffic and report anything unusual. Recently, many scientists …

… Some CPSs rely on ad hoc networks or even the Internet to exchange messages and control
… This paper proposes an intelligent classic control approach for compensation of scalar …