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DC Field Value Language
dc.contributor.advisor Lee, Changsoo -
dc.contributor.author Shim, Jaegyu -
dc.date.accessioned 2025-04-04T13:49:13Z -
dc.date.available 2025-04-04T13:49:13Z -
dc.date.issued 2025-02 -
dc.description.degree Doctor -
dc.description Department of Civil, Urban, Earth, and Environmental Engineering (Environmental Science and Engineering) -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/86451 -
dc.identifier.uri http://unist.dcollection.net/common/orgView/200000865582 -
dc.language ENG -
dc.publisher Ulsan National Institute of Science and Technology -
dc.rights.embargoReleaseDate 9999-12-31 -
dc.rights.embargoReleaseTerms 9999-12-31 -
dc.subject Modeling -
dc.subject Deep learning -
dc.subject Desalination -
dc.subject Prediction -
dc.subject Optimization -
dc.subject Artificial intelligence -
dc.title Modeling Approaches to Membrane-based Desalination Technologies: Prediction and Optimization -
dc.type Thesis -

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