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Song, W., Zeng, F., Hu, J., Wang, Z. and Mao, X. (2017) An Unsupervised-Learning-Based Method for Multi-Hop Wireless Broadcast Relay Selection in Urban Vehicular Networks. 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, 4-7 June 2017, 1-5.
https://doi.org/10.1109/vtcspring.2017.8108458

has been cited by the following article:

• TITLE: A Review of Artificial Intelligence Applications in Contemporary Computer Network Technologies

  AUTHORS: Ackim Lutepo, Kai Zhang

  KEYWORDS: Artificial Intelligence, Network Technology, Internet of Things (IoT), Cybersecurity, Mobile Communication

  JOURNAL NAME: Communications and Network, Vol.16 No.3, August 20, 2024

  ABSTRACT: Rapid advancement in science and technology has seen computer network technology being upgraded constantly, and computer technology, in particular, has been applied more and more extensively, which has brought convenience to people’s lives. The number of people using the internet around the globe has also increased significantly, exerting a profound influence on artificial intelligence. Further, the constant upgrading and development of artificial intelligence has led to the continuous innovation and improvement of computer technology. Countries around the world have also registered an increase in investment, paying more attention to artificial intelligence. Through an analysis of the current development situation and the existing applications of artificial intelligence, this paper explicates the role of artificial intelligence in the face of the unceasing expansion of computer network technology.