Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review.

DC ElementWertSprache
dc.contributor.authorStahmann, Philip
dc.contributor.authorRieger, Bodo
dc.date.accessioned2022-04-19T14:04:52Z-
dc.date.available2022-04-19T14:04:52Z-
dc.date.issued2021
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/53083-
dc.publisherHawaii International Conference on System Sciences
dc.relation.ispartofhawaii international conference on system sciences
dc.rightscc-by-nc-nd
dc.subjectComputer science
dc.subjectIdentification (biology)
dc.subjectMachine learning
dc.subjectData mining
dc.subjectArtificial intelligence
dc.subjectAnomaly detection
dc.titleRequirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review.
dc.typejournal article
dc.identifier.doihttps://doi.org/10.24251/hicss.2021.696
dc.description.startpage5738
dc.identifier.externalhttps://openalex.org/W3128445232
dcterms.oaStatustrue
local.import.sourcefileopenalex_uos_20220409.ris
crisitem.author.deptFB 09 - Wirtschaftswissenschaften-
crisitem.author.deptidfb09-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.netidRiBo787-
Zur Kurzanzeige

Seitenaufrufe

3
Letzte Woche
0
Letzter Monat
0
geprüft am 29.05.2024

Google ScholarTM

Prüfen

Altmetric