Logo DOAB
  • Publisher login
    • Support
    • Language 
      • English
      • français
    • Deposit
            View Item 
            •   DOAB Home
            • View Item
            •   DOAB Home
            • View Item
            JavaScript is disabled for your browser. Some features of this site may not work without it.

            Machine Learning for Cyber Physical Systems

            Selected papers from the International Conference ML4CPS 2020

            Thumbnail
            Contributor(s)
            Beyerer, Jürgen (editor)
            Maier, Alexander (editor)
            Niggemann, Oliver (editor)
            Language
            English
            Show full item record
            Abstract
            This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/173690
            Keywords
            Cyber-physical systems, IoT; Communications Engineering, Networks; Computer Systems Organization and Communication Networks; Cyber-Physical Systems; Computer Engineering and Networks; Machine Learning; Artificial Intelligence; Cognitive Robotics; Internet of Things; Computational intelligence; Computer-based algorithms; Smart grid; Open Access; Industry 4.0; Electrical engineering; Cybernetics & systems theory; Communications engineering / telecommunications; Computer networking & communications; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
            DOI
            10.1007/978-3-662-62746-4
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            2021
            Imprint
            Springer Vieweg
            Series
            Technologien für die intelligente Automation,
            Pages
            130
            • OAPEN harvesting collection

            Browse

            All of DOABSubjectsPublishersLanguagesCollections

            My Account

            LoginRegister

            Export

            Repository metadata
            Doabooks

            • For Researchers
            • For Librarians
            • For Publishers
            • Our Supporters
            • Resources
            • DOAB

            Newsletter


            • subscribe to our newsletter
            • view our news archive

            Follow us on

            • Twitter

            License

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

            donate


            • Donate
              Support DOAB and the OAPEN Library

            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

            Directory of Open Access Books is a joint service of OAPEN, OpenEdition, CNRS and Aix-Marseille Université, provided by DOAB Foundation.

            Websites:

            DOAB
            www.doabooks.org

            OAPEN Home
            www.oapen.org

            OAPEN OA Books Toolkit
            www.oabooks-toolkit.org

            Export search results

            The export option will allow you to export the current search results of the entered query to a file. Differen formats are available for download. To export the items, click on the button corresponding with the preferred download format.

            A logged-in user can export up to 15000 items. If you're not logged in, you can export no more than 500 items.

            To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

            After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.