An integrated machine learning, noise suppression, and population-based algorithm to improve total dissolved solids prediction
dc.contributor.author | Sun, Kangjie | |
dc.contributor.author | Rajabtabar, Mohammad | |
dc.contributor.author | Samadi, Seyedehzahra Zahra | |
dc.contributor.author | Rezaie-Balf, Mohammad | |
dc.contributor.author | Ghaemi, Alireza | |
dc.contributor.author | Band, Shahab S. | |
dc.contributor.author | Mosavi, Amir | |
dc.date.accessioned | 2021-11-24T07:43:30Z | |
dc.date.available | 2021-11-24T07:43:30Z | |
dc.date.created | 2021-02-10T00:47:45Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 1994-2060 | |
dc.identifier.uri | https://hdl.handle.net/11250/2831157 | |
dc.language.iso | eng | |
dc.title | An integrated machine learning, noise suppression, and population-based algorithm to improve total dissolved solids prediction | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
dc.source.journal | Engineering Applications of Computational Fluid Mechanics | |
dc.identifier.doi | 10.1080/19942060.2020.1861987 | |
dc.identifier.cristin | 1888313 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 |