Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
하이브리드 딥러닝 기반 COVID-19 전파 예측 프레임웍
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee,Hyun Soo | - |
| dc.date.available | 2021-03-09T08:40:08Z | - |
| dc.date.created | 2021-03-09 | - |
| dc.date.issued | 2020-11 | - |
| dc.identifier.issn | 2076-3417 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/18991 | - |
| dc.publisher | MDPI | - |
| dc.title | 하이브리드 딥러닝 기반 COVID-19 전파 예측 프레임웍 | - |
| dc.title.alternative | Hybrid Deep Learning-Based Epidemic Prediction Framework of COVID-19: South Korea Case | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Lee,Hyun Soo | - |
| dc.identifier.bibliographicCitation | Applied Sciences-Basel, v.10, no.23, pp.1 - 21 | - |
| dc.relation.isPartOf | Applied Sciences-Basel | - |
| dc.citation.title | Applied Sciences-Basel | - |
| dc.citation.volume | 10 | - |
| dc.citation.number | 23 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 21 | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - School of Industrial Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- LEE, Hyunsoo
- College of Engineering (Department of Industrial Engineering)