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Decolorization of the Reactive Blue 19 from Aqueous Solutions with the Fenton Oxidation Process and Modeling with Deep Neural Networks

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dc.contributor.authorDegermeoci, N
dc.contributor.authorAkyol, K
dc.date.accessioned2023-04-18T03:04:30Z
dc.date.available2023-04-18T03:04:30Z
dc.date.issued2020.01.01
dc.identifier.doi10.1007/s11270-020-4402-8
dc.identifier.eissn1573-2932
dc.identifier.endpage
dc.identifier.issn0049-6979
dc.identifier.issue2
dc.identifier.startpage
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000521347200001&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/10421
dc.identifier.volume231
dc.identifier.wosWOS:000521347200001
dc.relation.ispartofWATER AIR AND SOIL POLLUTION
dc.titleDecolorization of the Reactive Blue 19 from Aqueous Solutions with the Fenton Oxidation Process and Modeling with Deep Neural Networks
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWos38d7946a-0c2e-42f8-9e97-530bf5bcc47c
relation.isPublicationOfWos.latestForDiscovery38d7946a-0c2e-42f8-9e97-530bf5bcc47c

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