支持ai的物联网通信学习技术

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of High Speed Networks Pub Date : 2021-01-01 DOI:10.3233/JHS-210660

A. Souri, Mu Chen

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AI-enabled learning techniques for Internet of Things communications

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来源期刊

Journal of High Speed Networks Computer Science-Computer Networks and Communications

CiteScore

1.80

自引率

11.10%

发文量

期刊介绍： The Journal of High Speed Networks is an international archival journal, active since 1992, providing a publication vehicle for covering a large number of topics of interest in the high performance networking and communication area. Its audience includes researchers, managers as well as network designers and operators. The main goal will be to provide timely dissemination of information and scientific knowledge. The journal will publish contributed papers on novel research, survey and position papers on topics of current interest, technical notes, and short communications to report progress on long-term projects. Submissions to the Journal will be refereed consistently with the review process of leading technical journals, based on originality, significance, quality, and clarity. The journal will publish papers on a number of topics ranging from design to practical experiences with operational high performance/speed networks.