Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
다변량 하수 데이터 기반의 COVID-19 시계열 예측
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 강주현 | - |
| dc.date.accessioned | 2025-01-18T00:01:22Z | - |
| dc.date.available | 2025-01-18T00:01:22Z | - |
| dc.date.issued | 2024-11-06 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/57096 | - |
| dc.title | 다변량 하수 데이터 기반의 COVID-19 시계열 예측 | - |
| dc.type | Conference | - |
| dc.citation.startPage | 719 | - |
| dc.citation.endPage | 719 | - |
| dc.citation.conferenceName | 2024 대한환경공학회 | - |
| dc.citation.conferencePlace | 대한민국 | - |
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Kang, Joo Hyon
- College of Engineering (Department of Civil and Environmental Engineering)