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Predicting the amount of medical waste using kernel-based SVM and deep learning methods for a private hospital in Turkey

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dc.contributor.authorAltin, FG
dc.contributor.authorBudak, I
dc.contributor.authorOzcan, F
dc.date.accessioned2023-08-20T22:05:46Z
dc.date.available2023-08-20T22:05:46Z
dc.date.issued2023.01.01
dc.identifier.doi10.1016/j.scp.2023.101060
dc.identifier.eissn2352-5541
dc.identifier.endpage
dc.identifier.issn
dc.identifier.issue
dc.identifier.startpage
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:001043199700001&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/16920
dc.identifier.volume33
dc.identifier.wosWOS:001043199700001
dc.relation.ispartofSUSTAINABLE CHEMISTRY AND PHARMACY
dc.subjectMedical waste
dc.subjectHospital
dc.subjectSVM
dc.subjectDeep learning
dc.titlePredicting the amount of medical waste using kernel-based SVM and deep learning methods for a private hospital in Turkey
dc.typeArticle
dspace.entity.typeWos
local.indexed.atWOS

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