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contributor authorHe, Mengjie
contributor authorQian, Qin
contributor authorLiu, Xinyu
contributor authorZhang, Jing
date accessioned2026-08-20T11:06:14Z
date available2026-08-20T11:06:14Z
date copyright2025/07/22
date issued2025
identifier otherJHYEFF.HEENG-6522.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311696
description abstractAbstractSimultaneous 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 ...
publisherAmerican Society of Civil Engineers
titleRiver Dissolved Oxygen Prediction Using Machine Learning Models and Wireless Sensor Measurements
typeJournal Article
journal volume30
journal issue5
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/JHYEFF.HEENG-6522
journal fristpage04025027-1
journal lastpage04025027-13
page13
treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 005
contenttypeFulltext


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