Machine Learning for Cyber Physical Systems
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 P...
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| Formato: | Libro |
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Springer Berlin Heidelberg
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3735724&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 3735724 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Machine Learning for Cyber Physical Systems aug: au: Jürgen Beyerer Alexander Maier Oliver Niggemann sertl: Technologien Für Die Intelligente Automation = Technologies for Intelligent Automation isbn: 9783662627457 9783662627464 imageinfo: pubinfo: dt: @attributes: year: 2021 month: 01 day: 01 dtAvail: @attributes: year: 2024 month: 08 day: 09 vid: 00013 pub: Springer Berlin Heidelberg pubContract: Springer Nature place: Berlin price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: 10 pda: N printPagesOffline: 10 printPagesOnline: 10 previewPages: 0 prePubGroup: dewey: @attributes: class: 006.31 item: 006 .31 lc: @attributes: class: Q325.5 item: Q 325 .5 artinfo: ui: 3735724 1237484309 formats: fmt: @attributes: type: EB doid: NL$3735724$PDF caption: PDF download: Y tig: atl: Machine Learning for Cyber Physical Systems ptl: Machine Learning for Cyber Physical Systems aug: au: Jürgen Beyerer Alexander Maier Oliver Niggemann su: Internet of things Embedded computer systems Computer engineering Machine learning--Congresses Cooperating objects (Computer systems)--Congresses Electrical engineering Computer organization sug: subj: TECHNOLOGY & ENGINEERING / Electronics / General COMPUTERS / Cybernetics COMPUTERS / Hardware / General TECHNOLOGY & ENGINEERING / Telecommunications Internet of things Embedded computer systems Computer engineering Machine learning--Congresses Cooperating objects (Computer systems)--Congresses Electrical engineering Computer organization ab: 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. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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