Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches
Saved in:
| Published in: | Recent Advances in Natural Sciences |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1868553867914903552 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| 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 | 2026-06-20T21:43:32.555Z |
| 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 |
| 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_alt | Una revisión sistemática de sistemas de monitoreo en tiempo real para la identificación de fugas en oleoductos y gasoductos basados en enfoques de aprendizaje profundo Une revue systématique des systèmes de surveillance en temps réel pour l'identification des fuites de pipelines pétroliers et gaziers basée sur les approches d'apprentissage profond Uma revisão sistemática de sistemas de monitoramento em tempo real para identificação de vazamentos em oleodutos e gasodutos baseados em abordagens de aprendizado profundo |
| title_auth | A systematic review of real-time monitoring systems for oil and gas pipeline leakage identification based on deep learning approaches |
| title_es_txt | Una revisión sistemática de sistemas de monitoreo en tiempo real para la identificación de fugas en oleoductos y gasoductos basados en enfoques de aprendizaje profundo |
| title_fr_txt | Une revue systématique des systèmes de surveillance en temps réel pour l'identification des fuites de pipelines pétroliers et gaziers basée sur les approches d'apprentissage profond |
| 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_pt_txt | Uma revisão sistemática de sistemas de monitoramento em tempo real para identificação de vazamentos em oleodutos e gasodutos baseados em abordagens de aprendizado profundo |
| 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 |