Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
머신러닝을 이용한 이산화탄소 포화도 모니터링
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 변중무 | - |
| dc.date.accessioned | 2023-07-05T07:12:10Z | - |
| dc.date.available | 2023-07-05T07:12:10Z | - |
| dc.date.issued | 2023-05-26 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/187231 | - |
| dc.title | 머신러닝을 이용한 이산화탄소 포화도 모니터링 | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | 2023 한국지구물리∙물리탐사학회 봄 학술대회 | - |
| dc.citation.conferencePlace | 극지연구소 | - |
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 서울 공과대학 > 서울 자원환경공학과 > 2. Conference Papers
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Byun, Joongmoo
- COLLEGE OF ENGINEERING (DEPARTMENT OF EARTH RESOURCES AND ENVIRONMENTAL ENGINEERING)