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Application of artificial neural networks to predict the heavy metal contamination in the Bartin River

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dc.contributor.authorOzel, HU
dc.contributor.authorGemici, BT
dc.contributor.authorGemici, E
dc.contributor.authorOzel, HB
dc.contributor.authorCetin, M
dc.contributor.authorSevik, H
dc.date.accessioned2023-04-18T03:10:58Z
dc.date.available2023-04-18T03:10:58Z
dc.date.issued2020.01.01
dc.identifier.doi10.1007/s11356-020-10156-w
dc.identifier.eissn1614-7499
dc.identifier.endpage42512
dc.identifier.issn0944-1344
dc.identifier.issue34
dc.identifier.startpage42495
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000551767400008&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/10530
dc.identifier.volume27
dc.identifier.wosWOS:000551767400008
dc.relation.ispartofENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
dc.titleApplication of artificial neural networks to predict the heavy metal contamination in the Bartin River
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWosc4aca60e-9c07-45f7-a166-ab02b4a5791a
relation.isPublicationOfWos.latestForDiscoveryc4aca60e-9c07-45f7-a166-ab02b4a5791a

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