Gas pipeline leakage detection based on multiple multimodal deep feature selections and optimized deep forest classifier
Gas pipeline leaks contribute to one-third of methane emissions annually, posing environmental damage and safety risks. However, accurate and timely detection of the leak presents several challenges, including remote and inaccessible environments, low accuracy and efficiency, and high hardware and l...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1569621/full |
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