미세먼지관리, 특성화대학원
Chair : Sangkyun Lee(Professor.Korea University)
Time | Program |
16:00 ~ 16:20 |
Research of Particulate Matter Prediction Modeling Based on Deep Learning
Lee, Seong Gu
Department of Human ICT Convergence, Sungkyunkwan University
|
16:20 ~ 16;40 |
Improvement of Particulate Matter Prediction Performance in Subway Stations Using Reconstruction Error-based Spatiotemporal Transformer
Youngkwang KimㆍBokju Kim1ㆍSungMahn Ahn2
Data Solution Business Department, WesleyQuest Co., Ltd.
1D&A Platform Department, Woori Finance Information System Co., Ltd. 2School of Business Administration, Kookmin University |
16:40 ~ 17:00 |
How to amplify anomaly data in consideration of environmental changes and improve prediction performance
Chul Hyun Hwang
Department of Big Data, Kyoung-Bok University
|
17:00 ~ 17:20 |
Development of short-term artificial intelligence PM2.5 forecast model
Hui-Young Yun1ㆍDae-Ryun Choi1ㆍJi-Seok Koo2ㆍKyung-Hui Wang3ㆍYoun-Seo Koo1
1Department of Environmental and Energy Engineering, Anyang University
2Department of Computer Engineering, Anyang University 3Department of Environmental Engineering, Graduate School of Anyang University |
17:20 ~ 17:40 |
Spatiotemporal Variations in Air Quality over East Asia(China and South Korea) from 2015 to 2020 using CMAQ with Data Assimilation
Dae-Ryun Choi1ㆍHui-Young Yun1ㆍJi-Seok Koo2ㆍKyung-Hui Wang3ㆍYoun-Seo Koo1
1Department of Environmental and Energy Engineering, Anyang University
2Department of Computer Engineering, Anyang University 3Department of Environmental Engineering, Graduate School of Anyang University |
17:40 ~ 18:00 |
Improved air quality forecasting accuracy by applying ensemble method
Sung-Tae Kim
E2M3 Inc.
|