In this paper we provide our preliminary idea of using Genetic Algorithms (GAs) to solve the
ad hoc Wireless Sensor Networks (WSNs) distance optimization problem. Our objective is to …

… of some notable conceptions of ad hoc-ness in the … what ad hoc-ness exactly means, I shift
the focus of the analysis to one undesirable feature often present in alleged cases of ad hoc-…

… 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 …

… We then explain the questions and data collection of our ad-hoc-survey on writing with
artificial intelligence. We describe the findings, especially the fact that unexperienced users apply …

… (artificial bee colony) to Vehicular ad Hoc Network (VANET). Vehicular ad hoc networks (…
Thus, routing is the key problem in ad hoc network fields. A good routing protocol presents …

The emerging field of vehicular ad hoc networks (VANETs) deals with a set of
communicating vehicles which are able to spontaneously interconnect without any pre-existing …

… Artificial intelligence (AI) and robotics are used increasingly often without the exception of …
role of new technologies and artificial intelligence in acute stroke patient management. …

… Remote ad hoc networks are enormous and commonly used … -limited [3], ad hoc wireless
mobile networks are susceptible to … in the late 1950s by artificial intelligence was ML. Over time, …

… Recently, the use of Artificial Intelligence (AI) in learning-based networking has gained … to
make more intelligent networking decisions by integrating computational intelligence into UAV …

… with which we test our ad hoc team agent, and Section 4 fully specifies the on-line behavior
planning algorithms that we evaluate for the purposes of ad hoc teamwork. Section 5 …