Publication:
First approaches to automatically diagnose and reconfigure hybrid cyber-physical systems

Simple item page
cris.customurl 20511
cris.virtual.department Informatik im Maschinenbau
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department Informatik im Maschinenbau
cris.virtual.departmentbrowse Informatik im Maschinenbau
cris.virtual.departmentbrowse Informatik im Maschinenbau
cris.virtualsource.department 5a48592a-0501-4524-a72f-cd50a6a1edcc
cris.virtualsource.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department f318ef77-db4b-4956-9a01-97eee1ab0454
dc.contributor.author Diedrich, Alexander
dc.contributor.author Balzereit, Kaja
dc.contributor.author Niggemann, Oliver
dc.date.issued 2020-12-24
dc.description This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
dc.description.version VoR
dc.identifier.doi 10.1007/978-3-662-62746-4_12
dc.identifier.isbn 978-3-662-62746-4
dc.identifier.uri https://openhsu.ub.hsu-hh.de/handle/10.24405/20511
dc.language.iso en
dc.publisher Springer Vieweg
dc.relation.conference 5th Conference on Machine Learning for Cyber-Physical-Systems and Industry 4.0 (ML4CPS 2020) ; Berlin, Germany ; March 22–23, 2020
dc.relation.orgunit Informatik im Maschinenbau
dc.rights.accessRights metadata only access
dc.title First approaches to automatically diagnose and reconfigure hybrid cyber-physical systems
dc.type Konferenzbeitrag
dcterms.bibliographicCitation.booktitle Machine learning for cyber physical systems : selected papers from the international conference ML4CPS 2020
dcterms.bibliographicCitation.originalpublisherplace Berlin
dspace.entity.type Publication
hsu.uniBibliography ✅
oaire.citation.endPage 122
oaire.citation.startPage 113
Files
Collections
3 - Publication references (without full text)