Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Feasibility, Advantages, and Limitations of Machine Learning for Identifying Spilled Oil in Offshore Conditions

Full metadata record
DC Field Value Language
dc.contributor.authorSeong-Il, Kang-
dc.contributor.authorCheol, Huh-
dc.contributor.authorKim, Choong-Ki-
dc.contributor.authorCho, Meang ik-
dc.contributor.authorChoi, Hyuek Jin-
dc.date.accessioned2025-09-22T23:00:08Z-
dc.date.available2025-09-22T23:00:08Z-
dc.date.issued2025-04-
dc.identifier.issn2077-1312-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11003-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI AG-
dc.titleFeasibility, Advantages, and Limitations of Machine Learning for Identifying Spilled Oil in Offshore Conditions-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.bibliographicCitationJournal of Marine Science and Engineering-
dc.citation.titleJournal of Marine Science and Engineering-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
해양공공디지털연구본부 > 해사안전·환경연구센터 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Choi, Hyuek Jin photo

Choi, Hyuek Jin
해양공공디지털연구본부 (해사안전·환경연구센터)
Read more

Altmetrics

Total Views & Downloads

BROWSE