… 2 Artificial Intelligence for Intelligent Sensing This section reviews the main artificial intelligence
techniques … It discusses the usage of machine learning techniques for the identification of …

… of artificial intelligence (AI) techniques for the application area of robot communication. The
… The static technique allows increasing the data transfer rate in robots network which has an …

… After obtaining the population (ie, the number of users in cognitive communicatin networks)
through data transmission and initializing the random genetic generation, ADASA also …

… in the discipline of communication studies) is fundamental to both the theory and practice
of artificial intelligence (AI). In particular, it is communication that provides the science with its …

… In addition, the discontinuous short-term contacts between spacecraft and ground stations
limit the data transmission capability. Analyzing, monitoring, and interpreting huge telemetry …

… vector machine and Artificial Neural Network. The innovative aspect of this academic
research creates better effectiveness during in the Ethernet frame transfer of data witnessed after …

… artificial intelligence to this topic, through machine learning using both supervised and
unsupervised learning algorithms. In this article we introduce health communication… empirical data …

… high to test their forecasting accuracy and observe the file transfer throughput. In their
conclusions, the authors note that initiating data transfer when the next step in the traffic forecast is …

… Based on this motivation, in this paper, we adopt a deep Q-learning approach for designing
an optimal data transmission scheduling scheme in cognitive vehicular networks to minimize …

… communication links in shorter time [5]–[13]. We consider that the use of distributed artificial
intelligence … challenging and dynamic environment of D2D communication. To the best of our …