| contributor author | Liu, Rongsheng | |
| contributor author | Zayed, Tarek | |
| contributor author | Xiao, Rui | |
| date accessioned | 2026-08-20T21:22:35Z | |
| date available | 2026-08-20T21:22:35Z | |
| date copyright | 2025/07/31 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6119.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314358 | |
| description abstract | AbstractLeak identification in urban water distribution networks (WDNs) is a critical task
with potential consequences. Acoustic-based convolutional neural networks (CNNs) have
been widely employed for leak identification, leveraging its advantages with ... | |
| publisher | American Society of Civil Engineers | |
| title | Explainable Machine-Learning Leak Identification Framework for Water Distribution Networks | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 6 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6119 | |
| journal fristpage | 04025090-1 | |
| journal lastpage | 04025090-19 | |
| page | 19 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006 | |
| contenttype | Fulltext | |