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A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection

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dc.contributor.authorAkyol, Kemal
dc.date.accessioned2026-01-04T18:39:44Z
dc.date.issued2023-04-29
dc.description.urihttps://doi.org/10.1007/s10586-023-04003-z
dc.identifier.doi10.1007/s10586-023-04003-z
dc.identifier.eissn1573-7543
dc.identifier.endpage1215
dc.identifier.issn1386-7857
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dc.identifier.orcid0000-0002-2272-5243
dc.identifier.scopus2-s2.0-85153875906
dc.identifier.startpage1201
dc.identifier.urihttps://hdl.handle.net/20.500.12597/40682
dc.identifier.volume27
dc.identifier.wos000984317400001
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofCluster Computing
dc.rightsCLOSED
dc.titleA comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection
dc.typeArticle
dspace.entity.typePublication
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