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A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches

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Published in:Recent Advances in Natural Sciences
Format: Online Article RSS Article
Published: 2026
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container_title Recent Advances in Natural Sciences
description
discipline_display African Open Access — Natural Sciences
discipline_facet African Open Access — Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:90066
institution FRELIP
journal_source_facet Recent Advances in Natural Sciences
last_indexed 2026-06-12T02:00:45.559Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
sub_discipline_display General
sub_discipline_facet General
subject_display African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
subject_facet African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
title A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
title_auth A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
title_full A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
title_fullStr A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
title_full_unstemmed A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
title_short A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
title_sort a systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
topic African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
url https://flayoophl.com/journals/index.php/rans/article/view/250