Classification of two-phase flow instability phases using convolutional neural networks
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Título da fonte: | Repositório Institucional do IPEN |
Texto Completo: | http://repositorio.ipen.br/handle/123456789/32424 |
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2021-12-20T17:40:06Z2021-12-20T17:40:06ZNovember 29 - December 2, 2021http://repositorio.ipen.br/handle/123456789/324240000-0002-5355-0925Submitted by Celia Satomi Uehara (celia.u-topservice@ipen.br) on 2021-12-20T17:40:06Z No. of bitstreams: 1 28192.pdf: 494589 bytes, checksum: 7d2d06edbe30f851a6c328a6d22a38c1 (MD5)Made available in DSpace on 2021-12-20T17:40:06Z (GMT). No. of bitstreams: 1 28192.pdf: 494589 bytes, checksum: 7d2d06edbe30f851a6c328a6d22a38c1 (MD5)Associa????o Brasileira de Energia Nuclearalgorithmsartificial intelligenceheat transferinstabilitynatural convectionneural networksthermal hydraulicstwo-phase flowClassification of two-phase flow instability phases using convolutional neural networksinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectINACIRio de JaneiroOnline14844147091375600600600SCHOTT, S.M.C.SILVA, M.C.B. daMESQUITA, R.N. deINTERNATIONAL NUCLEAR ATLANTIC CONFERENCEinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do IPENinstname:Instituto de Pesquisas Energéticas e Nucleares (IPEN)instacron:IPEN281922021MESQUITA, R.N. deSILVA, M.C.B. daSCHOTT, S.M.C.21-12Proceedings13751470914844MESQUITA, R.N. de:1375:420:NSILVA, M.C.B. da:14709:420:NSCHOTT, S.M.C.:14844:420:SLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ipen.br/bitstream/123456789/32424/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINAL28192.pdf28192.pdfapplication/pdf494589http://repositorio.ipen.br/bitstream/123456789/32424/1/28192.pdf7d2d06edbe30f851a6c328a6d22a38c1MD51123456789/324242022-03-10 13:06:00.74oai:repositorio.ipen.br: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Repositório InstitucionalPUBhttp://repositorio.ipen.br/oai/requestbibl@ipen.bropendoar:45102022-03-10T13:06Repositório Institucional do IPEN - Instituto de Pesquisas Energéticas e Nucleares (IPEN)false |
dc.title.pt_BR.fl_str_mv |
Classification of two-phase flow instability phases using convolutional neural networks |
title |
Classification of two-phase flow instability phases using convolutional neural networks |
spellingShingle |
Classification of two-phase flow instability phases using convolutional neural networks SCHOTT, S.M.C. algorithms artificial intelligence heat transfer instability natural convection neural networks thermal hydraulics two-phase flow |
title_short |
Classification of two-phase flow instability phases using convolutional neural networks |
title_full |
Classification of two-phase flow instability phases using convolutional neural networks |
title_fullStr |
Classification of two-phase flow instability phases using convolutional neural networks |
title_full_unstemmed |
Classification of two-phase flow instability phases using convolutional neural networks |
title_sort |
Classification of two-phase flow instability phases using convolutional neural networks |
author |
SCHOTT, S.M.C. |
author_facet |
SCHOTT, S.M.C. SILVA, M.C.B. da MESQUITA, R.N. de INTERNATIONAL NUCLEAR ATLANTIC CONFERENCE |
author_role |
author |
author2 |
SILVA, M.C.B. da MESQUITA, R.N. de INTERNATIONAL NUCLEAR ATLANTIC CONFERENCE |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
SCHOTT, S.M.C. SILVA, M.C.B. da MESQUITA, R.N. de INTERNATIONAL NUCLEAR ATLANTIC CONFERENCE |
dc.subject.por.fl_str_mv |
algorithms artificial intelligence heat transfer instability natural convection neural networks thermal hydraulics two-phase flow |
topic |
algorithms artificial intelligence heat transfer instability natural convection neural networks thermal hydraulics two-phase flow |
publishDate |
2021 |
dc.date.evento.pt_BR.fl_str_mv |
November 29 - December 2, 2021 |
dc.date.accessioned.fl_str_mv |
2021-12-20T17:40:06Z |
dc.date.available.fl_str_mv |
2021-12-20T17:40:06Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/conferenceObject |
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conferenceObject |
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publishedVersion |
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http://repositorio.ipen.br/handle/123456789/32424 |
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0000-0002-5355-0925 |
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http://repositorio.ipen.br/handle/123456789/32424 |
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14844 14709 1375 |
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600 600 600 |
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openAccess |
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I |
dc.publisher.none.fl_str_mv |
Associa????o Brasileira de Energia Nuclear |
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Associa????o Brasileira de Energia Nuclear |
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