DC FieldValueLanguage
dc.contributor.authorLi, Peng-
dc.contributor.authorNiggemann, Oliver-
dc.date.accessioned2021-02-23T11:52:22Z-
dc.date.available2021-02-23T11:52:22Z-
dc.date.issued2020-
dc.identifier.citationEnthalten in: IEEE transactions on industrial informatics. - New York, NY : IEEE, 2005. - Online-Ressource. - Bd. 16.2020 (14. Juli), insges. 9 S.de_DE
dc.identifier.issn1551-3203-
dc.identifier.otherhttps://ub.hsu-hh.de/DB=1.8/XMLPRS=N/PPN?PPN=1733626476-
dc.description.sponsorshipInformatik im Maschinenbaude_DE
dc.language.isoengde_DE
dc.publisherIEEEde_DE
dc.relation.ispartofIEEE Transactions on Industrial Informaticsde_DE
dc.subjectUniversitätsbibliographiede_DE
dc.subjectEvaluation 2020de_DE
dc.subject.ddcDDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systemede_DE
dc.titleA Non-Convex Archetypal Analysis for One-class Classification based Anomaly Detection in Cyber-Physical Systemsde_DE
dc.typeArticlede_DE
dc.identifier.doi10.1109/TII.2020.3009106-
hsu.accessrights.dnbblockedde_DE
dcterms.bibliographicCitation.volume16de_DE
dcterms.bibliographicCitation.originalpublisherplaceNew York, NYde_DE
dc.relation.pagesinsges. 9 S.de_DE
local.submission.typeonly-metadatade_DE
dc.description.peerReviewedYesde_DE
dc.type.articleScientific Articlede_DE
item.fulltextNo Fulltext-
item.fulltext_sNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.languageiso639-1en-
crisitem.author.deptInformatik im Maschinenbau-
crisitem.author.deptFakultät für Maschinenbau und Bauingenieurwesen-
crisitem.author.deptDekanat Maschinenbau-
crisitem.author.parentorgFakultät für Maschinenbau und Bauingenieurwesen-
crisitem.author.parentorgFakultäten-
crisitem.author.parentorgFakultät für Maschinenbau und Bauingenieurwesen-
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