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    New Trends in the Use of Artificial Intelligence for the Industry 4.0

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    Contributor(s)
    Osornio Rios, Roque A. (editor)
    Martínez, Luis Romeral (editor)
    Collection
    Knowledge Unlatched (KU)
    Number
    105980
    Language
    English
    Show full item record
    Abstract
    Industry 4.0 is based on the cyber-physical transformation of processes, systems and methods applied in the manufacturing sector, and on its autonomous and decentralized operation. Industry 4.0 reflects that the industrial world is at the beginning of the so-called Fourth Industrial Revolution, characterized by a massive interconnection of assets and the integration of human operators with the manufacturing environment. In this regard, data analytics and, specifically, the artificial intelligence is the vehicular technology towards the next generation of smart factories.Chapters in this book cover a diversity of current and new developments in the use of artificial intelligence on the industrial sector seen from the fourth industrial revolution point of view, namely, cyber-physical applications, artificial intelligence technologies and tools, Industrial Internet of Things and data analytics. This book contains high-quality chapters containing original research results and literature review of exceptional merit. Thus, it is in the aim of the book to contribute to the literature of the topic in this regard and let the readers know current and new trends in the use of artificial intelligence for the Industry 4.0.
    URI
    https://library.oapen.org/handle/20.500.12657/43835
    Keywords
    Computers; Artificial Intelligence; General
    DOI
    http://dx.doi.org/10.5772/intechopen.86015
    ISBN
    9781838804664
    Publisher
    InTechOpen
    Publisher website
    https://www.intechopen.com/
    Publication date and place
    2020
    Grantor
    • Knowledge Unlatched
    Imprint
    IntechOpen
    Classification
    Artificial intelligence
    Rights
    https://creativecommons.org/licenses/by-nc/4.0/legalcode
    • Harvested from KU

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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