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dc.contributor.authorLi, Zhe
dc.contributor.authorKristoffersen, Eivind
dc.contributor.authorLi, Jingyue
dc.date.accessioned2023-02-22T08:42:24Z
dc.date.available2023-02-22T08:42:24Z
dc.date.created2022-10-21T15:16:15Z
dc.date.issued2022
dc.identifier.citationComputers & industrial engineering. 2022, 172 .en_US
dc.identifier.issn0360-8352
dc.identifier.urihttps://hdl.handle.net/11250/3052984
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDeep transfer learning for failure prediction across failure typesen_US
dc.title.alternativeDeep transfer learning for failure prediction across failure typesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume172en_US
dc.source.journalComputers & industrial engineeringen_US
dc.identifier.doi10.1016/j.cie.2022.108521
dc.identifier.cristin2063811
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal