| dc.contributor.author | He, Mengjie | |
| dc.contributor.author | Qian, Qin | |
| dc.contributor.author | Liu, Xinyu | |
| dc.contributor.author | Zhang, Jing | |
| dc.date.accessioned | 2026-08-20T11:06:14Z | |
| dc.date.available | 2026-08-20T11:06:14Z | |
| dc.date.copyright | 2025/07/22 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JHYEFF.HEENG-6522.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311696 | |
| dc.description.abstract | AbstractSimultaneous flooding&heat and droughts&heat events can potentially destabilize hydro-meteorological
conditions to deteriorate the water quality of Neches River. Machine learning (ML)
models utilizing wireless sensor measurements have been applied ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | River Dissolved Oxygen Prediction Using Machine Learning Models and Wireless Sensor Measurements | |
| dc.type | Journal Article | |
| dc.journal.volume | 30 | |
| dc.journal.issue | 5 | |
| dc.journal.title | Journal of Hydrologic Engineering | |
| dc.identifier.doi | 10.1061/JHYEFF.HEENG-6522 | |
| dc.journal.fristpage | 04025027-1 | |
| dc.journal.lastpage | 04025027-13 | |
| dc.page | 13 | |
| dc.tree | Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 005 | |
| dc.contenttype | Fulltext | |
