… We discuss practical applications of these techniques to wireless communication systems, …
consideration for performance improvement in intelligent communications. In addition, precise …

… of learning applications with distinct latency and bandwidth requirements. Compared to cloud
and on-device learning, edge learning … learning overcomes the drawback of cloud learning …

… As we will see in this article, machine learning can significantly improve the performance
of … and their applications in intelligent communication systems reviewed in this article. …

… new intelligent communication … intelligence of wireless communication systems while
overcoming the above challenge. This paper presents a review on applications of DRL in intelligent …

… intelligence (AI) and data-driven machine learning (ML) techniques in studying, designing
and operating emerging communication … via open application programming interfaces (APIs) …

… put forward an intelligent communication framework. Specifically, machine learning is applied
… concrete solutions, we discuss how to implement the framework in different TI applications. …

… in machine learning and big data, has recently shown great potential in the study of wireless
communications. In this article, we provide a literature review on the applications of DL in …

… ML has applications in various fields. This review focuses on some of the fields and applications
such as education, healthcare, network security, banking and finance, and social media. …

… ment of information and communication technology (ICT), and … Applications of big data
analytics and deep learning in 5G … , and 5G and beyond communication systems are expected to …

… on practical intelligent systems and on-line learning algorithms that are … learning neural
networks with flexible structure that can grow and shrink. This new concept ofevolving intelligent …