Scholarworks@UNIST

UNIST Library
Search

Browsing by Author : Shin, Yeji

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
가 나 다 라 마 바 사 아 자 차 카 타 파 하
Sort by: In order: Results/Page Etal:

Showing results 1 to 9 of 9

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 View129
Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea File File

Kang, Eunjin , Yoo, Cheolhee , Shin, Yeji , Cho, Dongjin , Im, Jungho

Article Issue Date2021-12 View138
Diurnal urban heat risk assessment and real-time population data in Seoul File File

Yoo, Cheolhee , Im, Jungho , Weng, Qihao , Cho, Dongjin , Kang, Eunjin , Shin, Yeji

Article Issue Date2023-11 View204
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
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
Machine learning-based quantitative precipitation estimation over the East Asia from geostationary satellite data File File

Shin, Yeji

Thesis Issue Date2022-08 View98
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 View194
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 View201
Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer File File

Shin, Yeji , Han, Daehyeon , Im, Jungho

Article Issue Date2021-12 View135
1

RSS 1.0 RSS 2.0

CONTACT US

UNIST | Library

Tel : 052-217-1403 / Email : scholarworks@unist.ac.kr

Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.

ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.