… , machine learning (ML) is penetrating every facet of our lives, and transforming research in
many areas in a fundamental manner. Wireless communications is … wireless communication …

… for the satellite communication system. There are various … review on computational
intelligence-based techniques for analysis … intelligent prediction model based on machine learning …

… in improving entertainment facilities in Intelligent Transport Systems (ITS) [2], [3]. VANET
have made rapid progress due to the development of communication, electronic and computer …

… In this article, we present a machine learning (ML) based modeling approach that learns
the interactions between the phase shifts of the RIS elements and receiver (Rx) location …

… Since the increasingly computational complexity and elusive communication environment
in RIS-aided NOMA networks, we employ machine learning (ML) to improve network …

… As a benefit of the promising performance of machine learning (ML) in solving wireless
communication problems, there are several cases where people combine RIS and ML [12] [14] […

… In this section, the machine learning-based sensor data … machine learning-based data rate
prediction. Afterwards, we transit from context-aware to context-predictive communication with …

… latency communications and pervasive connectivity for Internet of Things (IoT) devices, next-…
leverage intelligent, data-driven functions enabled by the integration of machine learning (…

… , and machine learning to communication, networking, navigation, and resource allocation
problems, in particular, heterogeneous networks and intelligent collaborative systems. He is a …

… them adaptable to wireless communication environments. … as large intelligent reflecting
surface/walls, passive intelligent … not only adapt to communication environments but also control …