Machine learning applications for geoscience problems

Detalhes bibliográficos
Autor(a) principal: LIMA, Rafael Augusto Pires de
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional de Geociências - RIGEO
Texto Completo: https://rigeo.cprm.gov.br/handle/doc/21965
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spelling LIMA, Rafael Augusto Pires deMARFURT, KurtBEHM, MichaelMITRA, ShankarREZA, ZulfiquarNEESON, ThomasMARFURT, kurt2020-12-29T19:42:18Z2020-12-29T19:42:18Z2019LIMA, Rafael Augusto Pires de. Machine learning applications for geoscience problems. 2019. xxvi, 224 p., il. Dissertação (Mestrado) – School of Geosciences, University of Oklahoma, Norman, OK, 2019.https://rigeo.cprm.gov.br/handle/doc/21965GeophysicsGeofísicaMachine learning applications for geoscience problemsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisNorman, OKUniversity of OklahomaSchool of GeosciencesDoctor of Philosophy in GeophysicsMestrado AcadêmicoNorman, Oklahoma2019info:eu-repo/semantics/openAccessengreponame:Repositório Institucional de Geociências - RIGEOinstname:Companhia de Pesquisa de Recursos Minerais (CPRM)instacron:CPRMORIGINAL2019_pires_de_lima_rafael_dissertation.pdf2019_pires_de_lima_rafael_dissertation.pdfDissertaçãoapplication/pdf10280474http://rigeo.cprm.gov.br/jspui/bitstream/doc/21965/1/2019_pires_de_lima_rafael_dissertation.pdf226103b20e3aed5f122f4e0e8aa058d8MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-82313http://rigeo.cprm.gov.br/jspui/bitstream/doc/21965/2/license.txtb38980a30cc0f8be719fed9ad8f91c15MD52doc/219652023-03-31 09:56:18.159oai:rigeo.sgb.gov.br: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ório InstitucionalONGhttps://rigeo.sgb.gov.br/oai/request https://rigeo.cprm.gov.br/oai/requestrigeo@sgb.gov.bropendoar:2023-03-31T12:56:18Repositório Institucional de Geociências - RIGEO - Companhia de Pesquisa de Recursos Minerais (CPRM)false
dc.title.en.fl_str_mv Machine learning applications for geoscience problems
title Machine learning applications for geoscience problems
spellingShingle Machine learning applications for geoscience problems
LIMA, Rafael Augusto Pires de
Geofísica
Geophysics
title_short Machine learning applications for geoscience problems
title_full Machine learning applications for geoscience problems
title_fullStr Machine learning applications for geoscience problems
title_full_unstemmed Machine learning applications for geoscience problems
title_sort Machine learning applications for geoscience problems
author LIMA, Rafael Augusto Pires de
author_facet LIMA, Rafael Augusto Pires de
author_role author
dc.contributor.member.none.fl_str_mv MARFURT, Kurt
BEHM, Michael
MITRA, Shankar
REZA, Zulfiquar
NEESON, Thomas
dc.contributor.author.fl_str_mv LIMA, Rafael Augusto Pires de
dc.contributor.advisor1.fl_str_mv MARFURT, kurt
contributor_str_mv MARFURT, kurt
dc.subject.por.fl_str_mv Geofísica
topic Geofísica
Geophysics
dc.subject.en.en.fl_str_mv Geophysics
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2020-12-29T19:42:18Z
dc.date.available.fl_str_mv 2020-12-29T19:42:18Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv LIMA, Rafael Augusto Pires de. Machine learning applications for geoscience problems. 2019. xxvi, 224 p., il. Dissertação (Mestrado) – School of Geosciences, University of Oklahoma, Norman, OK, 2019.
dc.identifier.uri.fl_str_mv https://rigeo.cprm.gov.br/handle/doc/21965
identifier_str_mv LIMA, Rafael Augusto Pires de. Machine learning applications for geoscience problems. 2019. xxvi, 224 p., il. Dissertação (Mestrado) – School of Geosciences, University of Oklahoma, Norman, OK, 2019.
url https://rigeo.cprm.gov.br/handle/doc/21965
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional de Geociências - RIGEO
instname:Companhia de Pesquisa de Recursos Minerais (CPRM)
instacron:CPRM
instname_str Companhia de Pesquisa de Recursos Minerais (CPRM)
instacron_str CPRM
institution CPRM
reponame_str Repositório Institucional de Geociências - RIGEO
collection Repositório Institucional de Geociências - RIGEO
bitstream.url.fl_str_mv http://rigeo.cprm.gov.br/jspui/bitstream/doc/21965/1/2019_pires_de_lima_rafael_dissertation.pdf
http://rigeo.cprm.gov.br/jspui/bitstream/doc/21965/2/license.txt
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