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dc.contributor.authorAlizadeh, Ren_US
dc.contributor.authorAbad, JMNen_US
dc.contributor.authorFattahi, Aen_US
dc.contributor.authorAlhajri, Een_US
dc.contributor.authorKarimi, Nen_US
dc.date.accessioned2020-08-05T09:35:26Z
dc.date.available2020-05-19en_US
dc.date.issued2020-11-01en_US
dc.identifier.issn0195-0738en_US
dc.identifier.otherARTN 112109en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/66023
dc.relation.ispartofJOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASMEen_US
dc.subjectmachine learningen_US
dc.subjectartificial neural networken_US
dc.subjectnon-linear thermal radiationen_US
dc.subjectforced convectionen_US
dc.subjecthomogenous and heterogeneous reactionsen_US
dc.subjectporous mediaen_US
dc.subjectheat energy generationen_US
dc.subjectstorageen_US
dc.subjecttransferen_US
dc.titleApplication of Machine Learning to Investigation of Heat and Mass Transfer Over a Cylinder Surrounded by Porous Media-The Radial Basic Function Networken_US
dc.typeArticle
dc.rights.holder© 2020 by ASME
dc.rights.holderThis is a pre-copyedited, author-produced version of an article accepted for publication in Journal of Energy Resources Technology following peer review. The version of record is available https://asmedigitalcollection.asme.org/energyresources/article-abstract/142/11/112109/1084222/Application-of-Machine-Learning-to-Investigation?redirectedFrom=fulltext
dc.identifier.doi10.1115/1.4047402en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000578518000010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue11en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume142en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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