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- 2022-2022, Earth System Model-based Korea Polar Prediction System (KPOPS-Earth) Development and Its Application to the High-impact Weather Events originated from the Changing Arctic Ocean and Sea Ice (22-22) / Kim, Joo-Hong
Analysis and prediction of air quality in the Republic of Korea using Arctic/high-latitude climate variables in machine learning algorithms
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ho, Chang-Hoi | - |
| dc.date.accessioned | 2023-07-26T16:31:01Z | - |
| dc.date.available | 2023-07-26T16:31:01Z | - |
| dc.date.issued | 2023-07-26 | - |
| dc.identifier.uri | https://repository.kopri.re.kr/handle/201206/14518 | - |
| dc.identifier.uri | https://library.kopri.re.kr/search/detail/CATTOT000000055831 | - |
| dc.format.extent | 50 | - |
| dc.publisher | 서울대학교 산학협력단 | - |
| dc.title | Analysis and prediction of air quality in the Republic of Korea using Arctic/high-latitude climate variables in machine learning algorithms | - |
| dc.title.alternative | 머신 러닝 기법을 활용한 극지/고위도 기후와 우리나라 미세먼지의 연관성 분석 및 예측 | - |
| dc.type | Research report | - |
| dc.identifier.bibliographicCitation | Ho, Chang-Hoi. 2023. Analysis and prediction of air quality in the Republic of Korea using Arctic/high-latitude climate variables in machine learning algorithms. 50p. | - |
| dc.identifier.localId | 2023-00372 | - |
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