Detailed Information
Cited time in 
Cited time in 
Cited time in
Metadata Downloads
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Im, Jungho | - |
| dc.contributor.author | Song, Sanghyeon | - |
| dc.date.accessioned | 2024-01-29T16:33:11Z | - |
| dc.date.available | 2024-01-29T16:33:11Z | - |
| dc.date.issued | 2023-08 | - |
| dc.description.degree | Master | - |
| dc.description | Department of Urban and Environmental Engineering | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/74299 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000694856 | - |
| dc.language | eng | - |
| dc.publisher | Ulsan National Institute of Science and Technology (UNIST) | - |
| dc.rights.embargoReleaseDate | 9999-12-31 | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.title.alternative | 정지궤도위성 자료를 이용한 기계학습 기반 동아시아 지역의 주간 및 야간 시간 에어로졸 광학 깊이 추정 | - |
| dc.title | Machine learning-based estimation of daytime and nighttime aerosol optical depth over East Asia using geostationary satellite data | - |
| dc.type | Thesis | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.