Search result
- KOPRI Repository
- Polar Science Research Program
- Climate Sciences
- Atmosphere Sciences
- 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
- Title
- Analysis and prediction of air quality in the Republic of Korea using Arctic/high-latitude climate variables in machine learning algorithms
- Other Titles
- 머신 러닝 기법을 활용한 극지/고위도 기후와 우리나라 미세먼지의 연관성 분석 및 예측
- Authors
- Ho, Chang-Hoi
- Issue Date
- 2023-07-26
- Publisher
- 서울대학교 산학협력단
- Citation
- 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.
- URI
-
https://repository.kopri.re.kr/handle/201206/14518
https://library.kopri.re.kr/search/detail/CATTOT000000055831
- Type
- Research report
- Files in This Item
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.