Self-optimization of training dataset improves forecasting of cyanobacterial bloom by machine learning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jayun | - |
dc.contributor.author | Jung, Woosik | - |
dc.contributor.author | An, Jusuk | - |
dc.contributor.author | Oh, Hyun Je | - |
dc.contributor.author | Park, Joonhong | - |
dc.date.accessioned | 2024-09-20T03:00:13Z | - |
dc.date.available | 2024-09-20T03:00:13Z | - |
dc.date.issued | 2023-03 | - |
dc.identifier.issn | 0048-9697 | - |
dc.identifier.issn | 1879-1026 | - |
dc.identifier.uri | https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/23017 | - |
dc.publisher | Elsevier BV | - |
dc.title | Self-optimization of training dataset improves forecasting of cyanobacterial bloom by machine learning | - |
dc.type | Article | - |
dc.publisher.location | 네델란드 | - |
dc.identifier.doi | 10.1016/j.scitotenv.2023.161398 | - |
dc.identifier.bibliographicCitation | Science of the Total Environment, v.866 | - |
dc.citation.title | Science of the Total Environment | - |
dc.citation.volume | 866 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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