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dc.contributor.authorOlsson, Tomas
dc.contributor.authorRamentol, Enislay
dc.contributor.authorBarua, Shaibal
dc.date.accessioned2024-05-23T10:13:04Z
dc.date.available2024-05-23T10:13:04Z
dc.date.issued2021
dc.identifierONIX_20240523__38
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/90518
dc.description.abstractundefined
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
dc.subject.otherAutomatic control engineering
dc.titleChapter Machine Learning Models for Industrial Applications
dc.typechapter
oapen.identifier.doi10.5772/intechopen.93043
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1*
oapen.relation.isFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079
oapen.collectionEuropean Research Council (ERC)
oapen.grant.number723523
oapen.grant.acronymFUDIPO


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