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Showing results 1 to 6 of 6

Issue DateTitleAuthor(s)TypeView
2022-10An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared ChannelsShin, Yeji; Lee, Juhyun; Im, Jungho; Sim, SeongmunARTICLE248
2021-12Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, KoreaKang, Eunjin; Yoo, Cheolhee; Shin, Yeji; Cho, Dongjin; Im, JunghoARTICLE943
2022-08Machine learning-based quantitative precipitation estimation over the East Asia from geostationary satellite dataIm, Jungho; Shin, YejiMaster's thesis920
2020-10Multi-task learning based tropical cyclone intensity monitoring and forecasting through fusion of geostationary satellite data and numerical forecasting model outputLee, Juhyun; Yoo, Cheolhee; Im, Jungho; Shin, Yeji; Cho, DongjinARTICLE635
2023-12Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learningHan, Daehyeon; Choo, Minki; Im, Jungho; Shin, Yeji; Lee, Juhyun; Jung, SihunARTICLE1267
2021-12Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summerShin, Yeji; Han, Daehyeon; Im, JunghoARTICLE817
Showing results 1 to 6 of 6