dc.contributor.author | Serackis, Artūras | |
dc.contributor.author | Jankauskas, Mindaugas | |
dc.date.accessioned | 2023-09-18T20:51:57Z | |
dc.date.available | 2023-09-18T20:51:57Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/153248 | |
dc.format | PDF | |
dc.format.extent | p. 85 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.ispartofseries | Vilnius university proceedings 2669-0233 | |
dc.relation.isreferencedby | Dimensions | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://www.mii.lt/damss/files/damss_2022.pdf | |
dc.source.uri | https://www.zurnalai.vu.lt/proceedings/issue/archive | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:148981672/datastreams/MAIN/content | |
dc.title | Exploring the limits of early predictive maintenance applying anomaly detection technique | |
dc.type | Konferencijos pranešimo santrauka tarptautinėse DB / Conference presentation abstract in an international DB | |
dcterms.accessRights | This 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.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 0 | |
dc.type.pubtype | T1 - Konferencijos pranešimo tezės tarptautinėse DB / Conference presentation abstract in an international DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dcterms.sourcetitle | DAMSS 2022: 13th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 2022 | |
dc.publisher.name | Vilniaus universitetas | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 10.15388/DAMSS.13.2022 | |
dc.identifier.elaba | 148981672 | |