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dc.contributor.authorSerackis, Artūras
dc.contributor.authorJankauskas, Mindaugas
dc.date.accessioned2023-09-18T20:51:57Z
dc.date.available2023-09-18T20:51:57Z
dc.date.issued2022
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/153248
dc.formatPDF
dc.format.extentp. 85
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.ispartofseriesVilnius university proceedings 2669-0233
dc.relation.isreferencedbyDimensions
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mii.lt/damss/files/damss_2022.pdf
dc.source.urihttps://www.zurnalai.vu.lt/proceedings/issue/archive
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:148981672/datastreams/MAIN/content
dc.titleExploring the limits of early predictive maintenance applying anomaly detection technique
dc.typeKonferencijos pranešimo santrauka tarptautinėse DB / Conference presentation abstract in an international DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references0
dc.type.pubtypeT1 - Konferencijos pranešimo tezės tarptautinėse DB / Conference presentation abstract in an international DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dcterms.sourcetitleDAMSS 2022: 13th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 2022
dc.publisher.nameVilniaus universitetas
dc.publisher.cityVilnius
dc.identifier.doi10.15388/DAMSS.13.2022
dc.identifier.elaba148981672


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