DC FieldValueLanguage
dc.contributor.authorHeizmann, Michael-
dc.contributor.authorBraun, Alexander-
dc.contributor.authorGlitzner, Markus-
dc.contributor.authorGünther, Matthias-
dc.contributor.authorHasna, Günther-
dc.contributor.authorKlüver, Christina-
dc.contributor.authorKrooß, Jakob-
dc.contributor.authorMarquardt, Erik-
dc.contributor.authorOverdick, Michael-
dc.contributor.authorUlrich, Markus-
dc.date.accessioned2023-02-01T13:56:39Z-
dc.date.available2023-02-01T13:56:39Z-
dc.date.issued2023-
dc.description.sponsorshipAutomatisierungstechnikde_DE
dc.language.isoengde_DE
dc.publisherDe Gruyterde_DE
dc.relation.ispartofat - Automatisierungstechnikde_DE
dc.subject.ddc620 Ingenieurwissenschaftende_DE
dc.titleImplementing machine learning: chances and challengesde_DE
dc.typeArticlede_DE
dc.identifier.doi10.1515/auto-2021-0149-
dcterms.bibliographicCitation.volume70(2022)de_DE
dcterms.bibliographicCitation.issue1de_DE
dcterms.bibliographicCitation.pagestart90de_DE
dcterms.bibliographicCitation.pageend101de_DE
dcterms.bibliographicCitation.originalpublisherplaceBerlinde_DE
local.submission.typeonly-metadatade_DE
dc.description.peerReviewedde_DE
dc.type.articleScientific Articlede_DE
item.grantfulltextnone-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.fulltext_sNo Fulltext-
item.openairetypeArticle-
Appears in Collections:3 - Reported Publications
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