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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Im, Jungho | - |
| dc.contributor.author | Shin, Minso | - |
| dc.date.accessioned | 2024-01-29T15:39:57Z | - |
| dc.date.available | 2024-01-29T15:39:57Z | - |
| dc.date.issued | 2022-08 | - |
| dc.description.degree | Master | - |
| dc.description | Department of Urban and Environmental Engineering | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/73908 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000642452 | - |
| 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.subject | O3, NO2, ground-level NO2 concentration, ground-level O3 concentration, Real-Time Learning, Machine Learning | - |
| dc.title | The estimation of ground-level nitrogen dioxide (NO2) and ozone (O3) concentrations using Real-Time Learning (RTL)-based machine learning approach | - |
| dc.type | Thesis | - |
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