Unveiling key drivers in hydrometeorological processes feature selection using bayesian networks for improved understanding and prediction

dc.contributor.guide	Chanda, Kironmala
dc.coverage.spatial
dc.creator.researcher	Das, Prabal
dc.date.accessioned	2024-02-20T04:35:13Z
dc.date.available	2024-02-20T04:35:13Z
dc.date.awarded	2024
dc.date.completed	2024
dc.date.registered	2018
dc.description.abstract	Available newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/546093
dc.language	English
dc.publisher.institution	Department of Civil Engineering
dc.publisher.place	Dhanbad
dc.publisher.university	Indian Institute of Technology (ISM), Dhanbad
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Civil
dc.title	Unveiling key drivers in hydrometeorological processes feature selection using bayesian networks for improved understanding and prediction
dc.title.alternative
dc.type.degree	Ph.D.