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The prediction of potential energy and matter production from biomass pyrolysis with artificial neural network

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dc.contributor.authorAydinli, B
dc.contributor.authorCaglar, A
dc.contributor.authorPekol, S
dc.contributor.authorKaraci, A
dc.date.accessioned2023-04-18T02:31:39Z
dc.date.available2023-04-18T02:31:39Z
dc.date.issued2017.01.01
dc.identifier.doi10.1177/0144598717716282
dc.identifier.eissn2048-4054
dc.identifier.endpage712
dc.identifier.issn0144-5987
dc.identifier.issue6
dc.identifier.startpage698
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000412543900003&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/9711
dc.identifier.volume35
dc.identifier.wosWOS:000412543900003
dc.relation.ispartofENERGY EXPLORATION & EXPLOITATION
dc.titleThe prediction of potential energy and matter production from biomass pyrolysis with artificial neural network
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWosb3616acd-d616-4eb2-8a83-eda32ff79400
relation.isPublicationOfWos.latestForDiscoveryb3616acd-d616-4eb2-8a83-eda32ff79400

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