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dc.contributor.authorTiwari, Ashwini
dc.contributor.authorPrasad, K. S. Hari
dc.contributor.authorOjha, C. S. P.
dc.date.accessioned2026-08-20T11:56:10Z
dc.date.available2026-08-20T11:56:10Z
dc.date.copyright2026/03/20
dc.date.issued2026
dc.identifier.otherJOEEDU.EEENG-8415.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312867
dc.description.abstractAbstractDissolved oxygen (DO) refers to the mass of oxygen that is contained in the water. The concentration of DO is an important indicator of the water quality. Maintaining adequate DO levels in surface waters is necessary to sustain public health, ...Practical ApplicationsThis study applies ensemble machine learning (ML) models to predict aeration efficiency in rivers and streams, focusing on real-world, field-scale conditions. Traditional empirical equations have been widely used, but they are valid ...
dc.publisherAmerican Society of Civil Engineers
dc.titleEvaluation of Ensemble Machine Learning Techniques for Prediction of Oxygen Transfer in Self-Aerated Flows
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue6
dc.journal.titleJournal of Environmental Engineering
dc.identifier.doi10.1061/JOEEDU.EEENG-8415
dc.journal.fristpage04026017-1
dc.journal.lastpage04026017-15
dc.page15
dc.treeJournal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 006
dc.contenttypeFulltext


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