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- Kim, Sungil
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | KO | - |
| dc.citation.title | 대한산업공학회 2023 춘계공동 학술대회 | - |
| dc.contributor.author | Kwak, JiIn | - |
| dc.contributor.author | Kim, Sungil | - |
| dc.date.accessioned | 2024-01-31T18:39:00Z | - |
| dc.date.available | 2024-01-31T18:39:00Z | - |
| dc.date.created | 2023-10-09 | - |
| dc.date.issued | 2023-06-02 | - |
| dc.identifier.bibliographicCitation | 대한산업공학회 2023 춘계공동 학술대회 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/74704 | - |
| dc.identifier.url | https://kiie.org/Conference/ConferenceView.asp?AC=0&CODE=CC20230101&CpPage=235#CONF | - |
| dc.publisher | 대한산업공학회 | - |
| dc.title | Spatio-temporal Graph Neural Network Approach for Real-time Traffic Incident Detection | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2023-05-31 | - |
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