Uso de Deep Learning em sinais de ondas gravitacionais

Detalhes bibliográficos
Autor(a) principal: Rocha, Gilliard Santos da
Data de Publicação: 2021
Tipo de documento: Relatório
Idioma: por
Título da fonte: Repositório Institucional da UFS
Texto Completo: https://ri.ufs.br/jspui/handle/riufs/15282
Resumo: São Cristóvão
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dc.title.pt_BR.fl_str_mv Uso de Deep Learning em sinais de ondas gravitacionais
dc.title.alternative.por.fl_str_mv Aprendizagem estatística de dados astrofísicos
title Uso de Deep Learning em sinais de ondas gravitacionais
spellingShingle Uso de Deep Learning em sinais de ondas gravitacionais
Rocha, Gilliard Santos da
Astrofísica
Deep Learning
Ondas gravitacionais
Espaço-tempo
title_short Uso de Deep Learning em sinais de ondas gravitacionais
title_full Uso de Deep Learning em sinais de ondas gravitacionais
title_fullStr Uso de Deep Learning em sinais de ondas gravitacionais
title_full_unstemmed Uso de Deep Learning em sinais de ondas gravitacionais
title_sort Uso de Deep Learning em sinais de ondas gravitacionais
author Rocha, Gilliard Santos da
author_facet Rocha, Gilliard Santos da
author_role author
dc.contributor.author.fl_str_mv Rocha, Gilliard Santos da
dc.contributor.advisor1.fl_str_mv Casarini, Luciano
contributor_str_mv Casarini, Luciano
dc.subject.por.fl_str_mv Astrofísica
Deep Learning
Ondas gravitacionais
Espaço-tempo
topic Astrofísica
Deep Learning
Ondas gravitacionais
Espaço-tempo
description São Cristóvão
publishDate 2021
dc.date.issued.fl_str_mv 2021
dc.date.accessioned.fl_str_mv 2022-04-05T20:00:26Z
dc.date.available.fl_str_mv 2022-04-05T20:00:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
format report
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dc.identifier.uri.fl_str_mv https://ri.ufs.br/jspui/handle/riufs/15282
dc.identifier.license.pt_BR.fl_str_mv Creative Commons Atribuição-Não Comercial-Sem Derivações 4.0 Internacional (CC BY-NC-ND 4.0)
url https://ri.ufs.br/jspui/handle/riufs/15282
identifier_str_mv Creative Commons Atribuição-Não Comercial-Sem Derivações 4.0 Internacional (CC BY-NC-ND 4.0)
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.initials.fl_str_mv Universidade Federal de Sergipe - Pró-reitoria de Pós-Graduação e Pesquisa - Coordenação de Pesquisa
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institution UFS
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