Feasibility, Advantages, and Limitations of Machine Learning for Identifying Spilled Oil in Offshore Conditions
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seong-Il, Kang | - |
dc.contributor.author | Cheol, Huh | - |
dc.contributor.author | Kim, Choong-Ki | - |
dc.contributor.author | Cho, Meang ik | - |
dc.contributor.author | Choi, Hyuek Jin | - |
dc.date.accessioned | 2025-09-22T23:00:08Z | - |
dc.date.available | 2025-09-22T23:00:08Z | - |
dc.date.issued | 2025-04 | - |
dc.identifier.issn | 2077-1312 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11003 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI AG | - |
dc.title | Feasibility, Advantages, and Limitations of Machine Learning for Identifying Spilled Oil in Offshore Conditions | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.bibliographicCitation | Journal of Marine Science and Engineering | - |
dc.citation.title | Journal of Marine Science and Engineering | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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