Fruit Juice-Alcohol Mixture Analysis Using Machine Learning and Electronic Nose

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dc.contributor.authorOrdukaya, Emre
dc.contributor.authorKarlik, Bekir
dc.date.accessioned2020-03-26T19:24:19Z
dc.date.available2020-03-26T19:24:19Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe aim of this study is to analyze the raw data collected from a fruit juice-alcohol mixture (a fruit juice-alcohol mixture and a fruit juice-multiple alcohol mixture) and the Halal authentication of a fruit juice-alcohol mixture with electronic nose. Machine learning techniques such as naive Bayesian classifier, K-nearest neighbors (K-NN), linear discriminant analysis (LDA), decision tree, artificial neural network (ANN), and support vector machine (SVM) were used to classify the feature of these collected raw data. There are three types of classification: the first one is a fruit juice and an alcohol mixture type; the second is a fruit juice and multiple alcohol mixture types, and the third is a Halal authentication of a fruit juice and alcohol mixture. We aimed at making cocktails with more successful results on the first two types of classification in the work. Also, we focused on Halal authentication of fruit juice-alcohol mixture in the third classification. (C) 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.en_US
dc.identifier.doi10.1002/tee.22250en_US
dc.identifier.endpageS176en_US
dc.identifier.issn1931-4973en_US
dc.identifier.issn1931-4981en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpageS171en_US
dc.identifier.urihttps://dx.doi.org/10.1002/tee.22250
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33628
dc.identifier.volume11en_US
dc.identifier.wosWOS:000384886700022en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWILEY-BLACKWELLen_US
dc.relation.ispartofIEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectsensor arraysen_US
dc.subjectelectronic nosesen_US
dc.subjectmachine learningen_US
dc.subjectclassification algorithmsen_US
dc.titleFruit Juice-Alcohol Mixture Analysis Using Machine Learning and Electronic Noseen_US
dc.typeArticleen_US

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