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Prediction of main components in clove essential oil using optimized machine learning models

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dc.contributor.authorYusuf Uzun
dc.contributor.authorFatma Zerrin Saltan
dc.contributor.orcid0000-0002-0537-4517
dc.contributor.orcid0000-0001-8739-0256
dc.date.accessioned2026-05-20T10:15:39Z
dc.date.issued2026-01-02
dc.identifier.doi10.1080/0972060x.2026.2614372
dc.identifier.endpage257
dc.identifier.issn0972-060X
dc.identifier.issue1
dc.identifier.openalexW7125159229
dc.identifier.startpage242
dc.identifier.urihttps://hdl.handle.net/11421/39654
dc.identifier.urihttps://doi.org/10.1080/0972060x.2026.2614372
dc.identifier.volume29
dc.language.isoen
dc.relation.ispartofJournal of Essential Oil Bearing Plants
dc.rightsrestrictedAccess
dc.subjectEssential oil
dc.subjectPredictive modelling
dc.subjectArtificial neural network
dc.subjectActive learning (machine learning)
dc.titlePrediction of main components in clove essential oil using optimized machine learning models
dspace.entity.typePublication

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