Low-Magnitude Seismic data augmentation using deep learning

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: unknown (author)
التنسيق: masterThesis
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/143723/1/Amjad_Thesis_File_2023_updated.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
_version_ 1868869873876074497
author unknown
author_facet unknown
author_role author
dc.creator.*.fl_str_mv unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/143723/1/Amjad_Thesis_File_2023_updated.pdf
Low-Magnitude Seismic data augmentation using deep learning. Masters thesis, King Fahd University of Petroleum and Minerals.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/143723/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
Earth Sciences
dc.title.none.fl_str_mv Low-Magnitude Seismic data augmentation using deep learning
dc.type.none.fl_str_mv Thesis
NonPeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
eu_rights_str_mv openAccess
format masterThesis
id KFUPM_7bbd912695af55d8450d908c13cf7ecc
identifier_str_mv Low-Magnitude Seismic data augmentation using deep learning. Masters thesis, King Fahd University of Petroleum and Minerals.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai:eprints.kfupm.edu.sa:143723
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Low-Magnitude Seismic data augmentation using deep learningComputerEarth SciencesThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/143723/1/Amjad_Thesis_File_2023_updated.pdf Low-Magnitude Seismic data augmentation using deep learning. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/143723/2020info:eu-repo/semantics/openAccessunknownoai:eprints.kfupm.edu.sa:1437232026-06-21T09:20:51Z
spellingShingle Low-Magnitude Seismic data augmentation using deep learning
unknown
Computer
Earth Sciences
status_str publishedVersion
title Low-Magnitude Seismic data augmentation using deep learning
title_full Low-Magnitude Seismic data augmentation using deep learning
title_fullStr Low-Magnitude Seismic data augmentation using deep learning
title_full_unstemmed Low-Magnitude Seismic data augmentation using deep learning
title_short Low-Magnitude Seismic data augmentation using deep learning
title_sort Low-Magnitude Seismic data augmentation using deep learning
topic Computer
Earth Sciences
url https://eprints.kfupm.edu.sa/id/eprint/143723/1/Amjad_Thesis_File_2023_updated.pdf