Machine learning model and strategy for fast and accurate detection of leaks in water supply network
Abstract The water supply network (WSN) is subjected to leaks that compromise its service to the communities, which, however, is challenging to identify with conventional approaches before the consequences surface. This study developed Machine Learning (ML) models to detect leaks in the WDN. Water p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-04-01
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| Series: | Journal of Infrastructure Preservation and Resilience |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43065-021-00021-6 |