| contributor author | Lo Presti, J. | |
| contributor author | Giudicianni, C. | |
| contributor author | Galuppini, G. | |
| contributor author | Toffanin, C. | |
| contributor author | Magni, L. | |
| contributor author | Creaco, E. | |
| date accessioned | 2026-08-20T21:06:39Z | |
| date available | 2026-08-20T21:06:39Z | |
| date copyright | 2026/04/27 | |
| date issued | 2026 | |
| identifier other | JWRMD5.WRENG-7134.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313965 | |
| description abstract | AbstractA novel methodology for burst detection/localization and pressure sensor placement
in water distribution networks (WDNs) is proposed, by combining machine learning and
graph theory algorithms. After a preliminary clustering of the WDN graph ... | |
| publisher | American Society of Civil Engineers | |
| title | Scalable Machine Learning–Based Approach for Pressure Sensor Placement and Burst Detection/Localization in Large Water Distribution Networks | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 7 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/JWRMD5.WRENG-7134 | |
| journal fristpage | 04026014-1 | |
| journal lastpage | 04026014-15 | |
| page | 15 | |
| tree | Journal of Water Resources Planning and Management:;2026:;Volume ( 152 ):;issue: 007 | |
| contenttype | Fulltext | |
