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- Kim, Sungil
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | IT | - |
| dc.citation.title | 2024 IEEE 20th International Conference on Automation Science and Engineering | - |
| dc.contributor.author | Oh, YongKyung | - |
| dc.contributor.author | Kim, Sungil | - |
| dc.date.accessioned | 2025-01-13T09:35:08Z | - |
| dc.date.available | 2025-01-13T09:35:08Z | - |
| dc.date.created | 2025-01-12 | - |
| dc.date.issued | 2024-08-29 | - |
| dc.identifier.bibliographicCitation | 2024 IEEE 20th International Conference on Automation Science and Engineering | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/86016 | - |
| dc.identifier.url | https://ras.papercept.net/conferences/conferences/CASE24/program/CASE24_ContentListWeb_2.html | - |
| dc.publisher | IEEE Robotics & Automation Society | - |
| dc.title | Grid-Based Bayesian Bootstrap Approach for Real-Time Detection of Abnormal Vessel Behaviors from AIS Data in Maritime Logistics | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2024-08-28 | - |
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