Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Multimodal Deep Learning Framework for Estimating Local Ice Loads on Polar Vessels
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Oh, Eunjin | - |
| dc.contributor.author | 하정석 | - |
| dc.contributor.author | 정성엽 | - |
| dc.date.accessioned | 2025-12-29T21:30:19Z | - |
| dc.date.available | 2025-12-29T21:30:19Z | - |
| dc.date.issued | 2025-07 | - |
| dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/11019 | - |
| dc.title | Multimodal Deep Learning Framework for Estimating Local Ice Loads on Polar Vessels | - |
| dc.type | Article | - |
| dc.identifier.bibliographicCitation | Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions, POAC | - |
| dc.citation.title | Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions, POAC | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
- Files in This Item
- Appears in
Collections - ETC > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.