Industrial Internet of Things and Machine Learning: New Synergies, Applications, and Challenges

IF 5.6 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Industrial Electronics Magazine Pub Date : 2024-07-04 DOI:10.1109/mie.2024.3392088

Eric Monmasson

引用次数: 0

Abstract

This spring issue is devoted to the new synergies between the Industrial Internet of Things (IIoT) and machine learning (ML) technologies. At the junction of industrial electronics and industrial informatics, the IIoT is one of the most dynamic topics of our research community, and when combined with the recent and significant advancements of ML, it represents huge potential for innovation in many fields of application, like Industry 4.0, transportation, energy, and much more.

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工业物联网和机器学习：新的协同效应、应用和挑战

本期春季刊专门讨论工业物联网（IIoT）与机器学习（ML）技术之间的新协同作用。IIoT 是工业电子学和工业信息学的结合点，是我们研究界最具活力的课题之一，如果与最近取得重大进展的 ML 相结合，它将为工业 4.0、交通、能源等许多应用领域带来巨大的创新潜力。

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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来源期刊

IEEE Industrial Electronics Magazine 工程技术-工程：电子与电气

CiteScore

14.00

自引率

3.20%

发文量

审稿时长

>12 weeks

期刊介绍： IEEE Industrial Electronics Magazine (IEM) publishes peer-reviewed articles that present emerging trends and practices in industrial electronics product research and development, key insights, and tutorial surveys in the field of interest to the membership of the IEEE Industrial Electronics Society (IEEE/IES). IEM is limited to the scope of the IES which is given as theory and applications of electronics, controls, communications, instrumentation and computational intelligence to industrial and manufacturing systems and processes.