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A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite data File File

Han, Daehyeon , Lee, Juhyun , Im, Jungho , Sim, Seongmun , Lee, Sanggyun , Han, Hyangsun

Article Issue Date2019-06 View201

A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery File File

Baek, You-Hyun , Moon, Il-Ju , Im, Jungho , Lee, Juhyun

Article Issue Date2022-01 View169

An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels File File

Shin, Yeji , Lee, Juhyun , Im, Jungho , Sim, Seongmun

Article Issue Date2022-10 View128

Automated Tropical Cyclone Intensity Estimation Through Integration of Historical Information and Self-Diagnosis Using AI Models File File

Jung, Hyeyoon , Moon, Il-Ju , Kim, Dong-Hoon , Lee, Juhyun

Article Issue Date2025-12 View40

Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation File File

Choo, Minki , Kim, Yejin , Lee, Juhyun , Im, Jungho , Moon, Il-Ju

Article Issue Date2024-12 View175

Cyclogenesis recognition using communication, ocean, and meteorological satellite images and machine learning approaches

Sim, Seogmoon , Im, Jungho , Park, Myung-Sook , Lee, Myong-In , Lee, Juhyun

Conference Paper Issue Date2018-04-12 View107

Deep learning-based monitoring and forecast of the intensity of tropical cyclones

Im, Jungho , Yoo, Cheolhee , Cho, Dongjin , Kim, Kyoungmin , Lee, Juhyun , Cha, Dong-Hyun , Au, Tsz-Chiu

Conference Paper Issue Date2019-07-31 View96

Detection of centers of tropical cyclones through the synergistic use of geostationary and polar-orbiting satellite data

Lee, Juhyun , Im, Jungho , Sim, Sungmoon , Park, Myungsook , Lee, Myong-In

Conference Paper Issue Date2016-12-14 View96

Detection of centers of tropical cyclones using Communication, Ocean, and Meteorological Satellite data

Lee, Juhyun , Im, Jungho , Park, Seohui , Yoo, Cheolhee

Conference Paper Issue Date2017-04-25 View68

Detection of Overshooting Tops over East Asia Using Himawari-8

Park, Heami , Im, Jungho , Kim, Miae , Lee, Juhyun

Conference Paper Issue Date2018-06-06 View121

Detection of tropical cyclone centers using satellite data and spatial metrics

Lee, Juhyun , Im, Jungho , Sim, Sungmoon , Lee, Sanggyun

Conference Paper Issue Date2016-10-25 View58

Detection of tropical cyclone centers using satellite data and spatial metrics

Lee, Juhyun , Im, Jungho , Sim, Sungmoon , Lee, Sanggyun

Conference Paper Issue Date2016-10-15 View58

Enhancing tropical cyclone intensity forecasting with explainable deep learning integrating satellite observations and numerical model outputs File File

Lee, Juhyun , Im, Jungho , Shin, Yeji

Article Issue Date2024-06 View176

Explainable deep learning-based characterization and forecasting of tropical cyclones through the synergistic fusion of satellite observations and numerical model data File

Lee, Juhyun

Thesis Issue Date2023-02 View62

Integrated one-step dry process enabling prelithiated thick electrodes without primer coating for high energy density and initial coulombic efficiency File File

Lee, Hyun-Wook , Jeong, Woojin , Park, Seongsoo , Ji, Ho-Jeong , Woo, Ji-Su , Lee, Juhyun , An, Ye-Jin , Hwang, Yu-Chan , Kim, Dong-Ha , Chang, Hongjun , et al

Article Issue Date2026-01 View64

Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning File File

Han, Daehyeon , Im, Jungho , Shin, Yeji , Lee, Juhyun

Article Issue Date2023-10 View152

Mitigating PTFE decomposition in ultra thick dry-processed anodes for high energy density lithium-ion batteries File

Han, Seungmin , Noh, Eui-Hyurk , Chae, Sujong , Kwon, Kihwan , Lee, Juhyun , Woo, Ji-Su , Park, Seongsu , Lee, Jung Woo , Kim, Patrick Joohyun , Song, Taeseup , et al

Article Issue Date2024-08 View136

Monitoring of overshooting tops over East Asia using Himawari-8 data and machine learning approaches?

Lee, Juhyun , Kim, Miae , Im, Jungho , Kang, Yoojin

Conference Paper Issue Date2018-05-11 View77

Monitoring of overshooting tops over East Asia using Himawari-8 satellite data and machine learning

Lee, Juhyun , Kim, Miae , Sim, Sungmoon , Im, Jungho

Conference Paper Issue Date2018-11-06 View76

Monitoring of overshooting tops over East Asia using Himawari-8 satellite data and machine learning approaches

Lee, Juhyun , Kim, Miae , Im, Jungho , Lee, Sanggyun

Conference Paper Issue Date2018-04-13 View132

Multi-task feature transfer deep learning-based tropical cyclone center estimation (MFT-TC) using geostationary satellite observations File File

Lee, Juhyun , Moon, Il-Ju , Im, Jungho , Kim, Dong-Hoon , Jung, Hyeyoon

Article Issue Date2025-09 View80

Multi-task learning based tropical cyclone intensity monitoring and forecasting through fusion of geostationary satellite data and numerical forecasting model output File

Lee, Juhyun , Yoo, Cheolhee , Im, Jungho , Shin, Yeji , Cho, Dongjin

Article Issue Date2020-10 View193

Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery File

Lee, Juhyun , Kim, Miae , Im, Jungho , Han, Hyangsun , Han, Deahyeon

Article Issue Date2021-08 View139

Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning File File

Han, Daehyeon , Choo, Minki , Im, Jungho , Shin, Yeji , Lee, Juhyun , Jung, Sihun

Article Issue Date2023-12 View195

Tropical cyclone intensity estimation through convolutional neural network transfer learning using two geostationary satellite datasets File File

Jung, Hyeyoon , Baek, You-Hyun , Moon, Il-Ju , Lee, Juhyun , Sohn, Eun-Ha

Article Issue Date2024-01 View93

Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data File File

Lee, Juhyun , Im, Jungho , Cha, Dong-Hyun , Park, Haemi , Sim, Seongmun

Article Issue Date2020-01 View171

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