DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Ki Jong | ko |
dc.contributor.author | Kim, Daegyoum | ko |
dc.date.accessioned | 2024-04-09T10:00:10Z | - |
dc.date.available | 2024-04-09T10:00:10Z | - |
dc.date.created | 2024-04-09 | - |
dc.date.issued | 2024-07 | - |
dc.identifier.citation | OCEAN ENGINEERING | - |
dc.identifier.issn | 0029-8018 | - |
dc.identifier.uri | http://hdl.handle.net/10203/318976 | - |
dc.language | English | - |
dc.publisher | Elsevier | - |
dc.title | Prediction of sloshing pressure using image-based deep learning | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.publicationname | OCEAN ENGINEERING | - |
dc.contributor.localauthor | Kim, Daegyoum | - |
dc.contributor.nonIdAuthor | Kim, Ki Jong | - |
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