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Determining the yarn quality by feature selection and classification in a yarn production facility

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dc.contributor.authorÖzmen, Tayfun
dc.contributor.authorTayfun Özmen
dc.contributor.orcid0000-0002-0768-0163
dc.date.accessioned2025-11-13T22:08:54Z
dc.date.issued2018-01-01
dc.identifier.doihttps://doi.org/10.5505/pajes.2017.37267
dc.identifier.endpage719
dc.identifier.issn1300-7009
dc.identifier.issue4
dc.identifier.openalexW2902011797
dc.identifier.startpage713
dc.identifier.urihttps://hdl.handle.net/11421/13767
dc.identifier.urihttps://doi.org/10.5505/pajes.2017.37267
dc.identifier.volume24
dc.language.isoen
dc.relation.ispartofPamukkale University Journal of Engineering Sciences
dc.rightsopenAccess
dc.subjectYarn
dc.subjectQuality (philosophy)
dc.subjectProduction (economics)
dc.subjectSelection (genetic algorithm)
dc.subjectFeature (linguistics)
dc.subjectComputer science
dc.subjectPattern recognition (psychology)
dc.subjectArtificial intelligence
dc.subjectMaterials science
dc.subjectComposite material
dc.subjectPhysics
dc.subjectEconomics
dc.titleDetermining the yarn quality by feature selection and classification in a yarn production facility
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5033438137

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