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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
dc.identifier.openairedoi_________::27e64cdf48b98a06643c491ee49113c9
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
local.import.sourceOpenAire
local.indexed.atWOS
local.indexed.atScopus

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