| contributor author | Dunphy, Kyle | |
| contributor author | Agarwal, Harsha | |
| contributor author | Sadhu, Ayan | |
| date accessioned | 2026-08-20T12:05:01Z | |
| date available | 2026-08-20T12:05:01Z | |
| date copyright | 2025/07/02 | |
| date issued | 2025 | |
| identifier other | JPSEA2.PSENG-1861.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313074 | |
| description abstract | AbstractOperational water distribution networks (WDNs) are of paramount importance to the
many facets of socioeconomic demands that are required by global society. Infrastructure
degradation and failures in the form of leak defects and catastrophic ... | |
| publisher | American Society of Civil Engineers | |
| title | Leveraging One-Dimensional Deep Learning for Robust Leak Detection in Water Distribution Systems Using Acceleration Data | |
| type | Journal Article | |
| journal volume | 16 | |
| journal issue | 4 | |
| journal title | Journal of Pipeline Systems Engineering and Practice | |
| identifier doi | 10.1061/JPSEA2.PSENG-1861 | |
| journal fristpage | 04025066-1 | |
| journal lastpage | 04025066-25 | |
| page | 25 | |
| tree | Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004 | |
| contenttype | Fulltext | |
