Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80795
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorChau, KW-
dc.date.accessioned2019-05-28T01:09:27Z-
dc.date.available2019-05-28T01:09:27Z-
dc.identifier.issn2073-4433en_US
dc.identifier.urihttp://hdl.handle.net/10397/80795-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Chau, K.-W. Integration of Advanced Soft Computing Techniques in Hydrological Predictions. Atmosphere 2019, 10, 101, 2 pages is available at https://dx.doi.org/10.3390/atmos10020101en_US
dc.titleIntegration of advanced soft computing techniques in hydrological predictionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage2en_US
dc.identifier.volume10en_US
dc.identifier.issue2en_US
dc.identifier.doi10.3390/atmos10020101en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAtmosphere, Feb. 2019, v. 10, no. 2, 101, p. 1-2-
dcterms.isPartOfAtmosphere-
dcterms.issued2019-
dc.identifier.isiWOS:000460697800061-
dc.identifier.scopus2-s2.0-85069840485-
dc.identifier.artn101en_US
dc.description.validate201905 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
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