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Assessing Imbalanced Autonomous Vehicle Crash Severity Models: Using Unstructured Data by Latent Class and Applying Data Augmentation Techniques
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 박준영 | - |
| dc.date.accessioned | 2025-02-13T03:30:28Z | - |
| dc.date.available | 2025-02-13T03:30:28Z | - |
| dc.date.issued | 2025-01-06 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/122046 | - |
| dc.title | Assessing Imbalanced Autonomous Vehicle Crash Severity Models: Using Unstructured Data by Latent Class and Applying Data Augmentation Techniques | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | 2025 Transportation Research Board 104th Annual Meeting | - |
| dc.citation.conferencePlace | Washington D.C. at the Walter E. Washington Convention Center | - |
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Related Researcher
- Park, June young
- ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)