Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: unknown (author)
التنسيق: masterThesis
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/143981/1/Thesis_Report_Final_v3.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
_version_ 1864513387800559616
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/143981/1/Thesis_Report_Final_v3.pdf
Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators. 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/143981/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Electrical
dc.title.none.fl_str_mv Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators
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_9cecae1dddf3677d5b114139e85a30ad
identifier_str_mv Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators. 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::143981
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage InsulatorsElectricalThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/143981/1/Thesis_Report_Final_v3.pdf Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/143981/2020info:eu-repo/semantics/openAccessunknownoai::1439812026-01-05T07:11:32Z
spellingShingle Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators
unknown
Electrical
status_str publishedVersion
title Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators
title_full Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators
title_fullStr Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators
title_full_unstemmed Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators
title_short Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators
title_sort Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators
topic Electrical
url https://eprints.kfupm.edu.sa/id/eprint/143981/1/Thesis_Report_Final_v3.pdf