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dc.contributor.editorBeyerer, Jürgen
dc.contributor.editorMaier, Alexander
dc.contributor.editorNiggemann, Oliver
dc.date.accessioned2021-02-10T14:11:02Z
dc.date.available2021-02-10T14:11:02Z
dc.date.issued2021
dc.date.submitted2021-01-13T08:56:31Z
dc.identifierONIX_20210113_9783662627464_8
dc.identifierhttps://library.oapen.org/handle/20.500.12657/46102
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/33766
dc.description.abstractThis 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.
dc.languageEnglish
dc.relation.ispartofseriesTechnologien für die intelligente Automation
dc.rightsopen access
dc.subject.otherCyber-physical systems, IoT
dc.subject.otherCommunications Engineering, Networks
dc.subject.otherComputer Systems Organization and Communication Networks
dc.subject.otherCyber-Physical Systems
dc.subject.otherComputer Engineering and Networks
dc.subject.otherMachine Learning
dc.subject.otherArtificial Intelligence
dc.subject.otherCognitive Robotics
dc.subject.otherInternet of Things
dc.subject.otherComputational intelligence
dc.subject.otherComputer-based algorithms
dc.subject.otherSmart grid
dc.subject.otherOpen Access
dc.subject.otherIndustry 4.0
dc.subject.otherElectrical engineering
dc.subject.otherCybernetics & systems theory
dc.subject.otherCommunications engineering / telecommunications
dc.subject.otherComputer networking & communications
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
dc.titleMachine Learning for Cyber Physical Systems
dc.title.alternativeSelected papers from the International Conference ML4CPS 2020
dc.typebook
oapen.identifier.doi10.1007/978-3-662-62746-4
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.imprintSpringer Vieweg
oapen.pages130
dc.seriesnumber13


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