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Showing results 2 to 19 of 19

Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images File

Yoo, Cheolhee , Han, Daehyeon , Im, Jungho , Bechtel, Benjamin

Article Issue Date2019-11 View5

Development of extreme gradient boosting model for prediction of punching shear resistance of R/C interior slabs File

Nguyen, Hoang D. , Gia Toai Truong , Shin, Myoungsu

Article Issue Date2021-05 View5

Development of Satellite-based Drought Indices for Assessing Wildfire Risk File

Park, Sumin , Son, Bokyung , Im, Jungho , Lee, Jaese , Lee, Byungdoo , Kwon, ChunGeun

Article Issue Date2019-12 View6

Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches File

Im, Jungho , Park, Seonyoung , Rhee, Jinyoung , Baik, Jongjin , Choi, Minha

Article Issue Date2016-08 View7

Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions File

Park, Seonyoung , Im, Jungho , Jang, Eunna , Rhee, Jinyoung

Article Issue Date2016-01 View11

Drought monitoring using high resolution soil moisture throughmulti-sensor satellite data fusion over the Korean peninsula File

Park, Seonyoung , Im, Jungho , Park, Sumin , Rhee, Jinyoung

Article Issue Date2017-05 View4

Dynamic calibration of phytoplankton blooms using the modified SWAT model File

Lee, Jiye , Woo, So-Young , Kim, Yong-Won , Kim, Seong-Joon , Pyo, JongCheol , Cho, Kyung Hwa

Article Issue Date2022-04 View8

Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data File

Yoo, Cheolhee , Im, Jungho , Park, Seonyoung , Quackenbush, Lindi J.

Article Issue Date2018-03 View6

Evaluation of random forest and regression tree methods for estimation of mass first flush ratio in urban catchments File

Jeung, Minhyuk , Baek, Sangsoo , Beom, Jina , Cho, Kyung Hwa , Her, Younggu , Yoon, Kwangsik

Article Issue Date2019-08 View5

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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