… : process data, communication with the cloud and BD, and calculation models. These three
elements require technological advances in data science, ML, and artificial intelligence (AI). …

… technique for V2V communication that can also be employed in unicast and broadcast
environments. According to the proposed technique, … power level for data transmission and sub-…

… ANNs for the design of communication networks, we consider … in optical and molecular
communication networks that are … the typical approach employed in communications, where …

… The Inter-Reception Gap (IRG) is the interruption between successful data transmission. Both
FILR and IRG are important factors that indicate the reliability of the LTE-V-Direct system. A …

… artificial intelligence (AI) and the study of communication … intelligence, including the ability
to communicate, within the machine (Frankish and Ramsey, 2014). In contrast, communication …

… For implementation of either data transmission or cloud-based image processing, data
bandwidth of both intranet and internet becomes a bottleneck, which limits the speed of upload …

… beyond the mobile internet to support ubiquitous artificial intelligence (AI) services and Internet
… It consists of the data pre-processing, data transmission, model inference, and result post-…

… In [5], AI-enabled techniques were applied to achieve network intelligentization, closed-loop
optimization and intelligent wireless communication for 6G networks. Kato et al. [8] used …

… In particular, we discuss how artificial techniques are applied to … , we also discuss how artificial
intelligence and market liberalization can … This makes communication between the energy …

… the IoT data is only contained in the reflected signal. By extracting the required data in the …
IoT AP, both the cellular data transmission and the IoT data transmission are completed. Key …