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Prediction of Pipeline Defect Depth and Classification Based on CatBoost

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Published in:Energy Science & Engineering
Format: Online Article RSS Article
Published: 2026
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container_title Energy Science & Engineering
description
discipline_display Energy
discipline_facet Energy
format Online Article
RSS Article
genre Journal Article
id rss_article:73372
institution FRELIP
journal_source_facet Energy Science & Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Prediction of Pipeline Defect Depth and Classification Based on CatBoost
Energy
General
Energy
sub_discipline_display General
sub_discipline_facet General
subject_display Energy
General
Energy
Energy
General
Energy
subject_facet Energy
General
Energy
title Prediction of Pipeline Defect Depth and Classification Based on CatBoost
title_auth Prediction of Pipeline Defect Depth and Classification Based on CatBoost
title_full Prediction of Pipeline Defect Depth and Classification Based on CatBoost
title_fullStr Prediction of Pipeline Defect Depth and Classification Based on CatBoost
title_full_unstemmed Prediction of Pipeline Defect Depth and Classification Based on CatBoost
title_short Prediction of Pipeline Defect Depth and Classification Based on CatBoost
title_sort prediction of pipeline defect depth and classification based on catboost
topic Energy
General
Energy
url https://scijournals.onlinelibrary.wiley.com/doi/10.1002/ese3.70486?af=R