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Showing results 11 to 19 of 19

Forest biomass estimation from airborne LiDAR data using machine learning approaches File

Gleason, Colin J. , Im, Jungho

Article Issue Date2012-10 View4
Ground motion amplification models for Japan using machine learning techniques File

Kim, Sunyul , Hwang, Youngdeok , Seo, Hwanwoo , Kim, Byungmin

Article Issue Date2020-05 View13
Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique File

Cho, Dongjin , Yoo, Cheolhee , Im, Jungho , Lee, Yeonsu , Lee, Jaese

Article Issue Date2020-07 View5
Machine learning-based prediction for maximum displacement of seismic isolation systems File

Nguyen, Hoang D. , Dao, Nhan D. , Shin, Myoungsu

Article Issue Date2022-07 View9
Prediction of drought on pentad scale using remote sensing data and MJO index through random forest over East Asia File

Park, Seonyoung , Seo, Eunkyo , Kang, Daehyun , Im, Jungho , Lee, Myong-In

Article Issue Date2018-11 View11
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 View12
Rapid seismic damage-state assessment of steel moment frames using machine learning File

Nguyen, Hoang D. , LaFave, James M. , Lee, Young-Joo , Shin, Myoungsu

Article Issue Date2022-02 View15
Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration File

Ke, Yinghai , Im, Jungho , Park, Seonyoung , Gong, Huili

Article Issue Date2017-04 View7
로지스틱 회귀, 랜덤포레스트, LSTM 기법을 활용한 서리예측모형 평가 File

전종안 , 이현주 , 임슬희 , 김대하 , 백상수

Article Issue Date2021-09 View5
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