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- Lee, Chang Hyeong
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | KO | - |
| dc.citation.title | KSIAM 2024 Spring Conference | - |
| dc.contributor.author | Lee, Minji | - |
| dc.contributor.author | Lee, Chang Hyeong | - |
| dc.date.accessioned | 2025-01-08T17:35:05Z | - |
| dc.date.available | 2025-01-08T17:35:05Z | - |
| dc.date.created | 2025-01-08 | - |
| dc.date.issued | 2024-05-18 | - |
| dc.identifier.bibliographicCitation | KSIAM 2024 Spring Conference | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/85938 | - |
| dc.publisher | Korean Society for Industrial and Applied Mathematics | - |
| dc.title | A Hybrid Deep Learning-Compartment Modeling Approach for COVID-19 Dynamics in Korea: Extended to Multi-Patch Modeling | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2024-05-17 | - |
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