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dc.contributor.authorOlsson, Tomas
dc.contributor.authorRamentol, Enislay
dc.contributor.authorBarua, Shaibal
dc.date.accessioned2025-03-08T01:54:18Z
dc.date.available2025-03-08T01:54:18Z
dc.date.issued2021
dc.date.submitted2024-05-23T10:13:04Z
dc.identifierONIX_20240523__38
dc.identifierhttps://library.oapen.org/handle/20.500.12657/90518
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/174956
dc.description.abstractundefined
dc.languageEnglish
dc.rightsopen access
dc.subject.otherAutomatic control engineering
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
dc.titleChapter Machine Learning Models for Industrial Applications
dc.typechapter
oapen.identifier.doi10.5772/intechopen.93043
oapen.relation.isPublishedBy035ecc65-6737-43cf-a13a-6bdf67ce01f4
oapen.relation.isFundedBy3f0a4da2-418f-411a-ae5f-8d27e0601aec
oapen.relation.isFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079
oapen.collectionEuropean Research Council (ERC)
oapen.grant.number723523
dc.relationisFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079


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