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Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea File

Park, Yongeun , Cho, Kyung Hwa , Park, Jihwan , Cha, Sung Min , Kim, Joon Ha

Article Issue Date2015-01 View16
Development of enhanced groundwater arsenic prediction model using machine learning approaches in Southeast Asian countries File

Park, Yongeun , Ligaray, Mayzonee , Kim, Young Mo , Kim, Joon Ha , Cho, Kyung Hwa , Sthiannopkao, Suthipong

Article Issue Date2016-06 View7
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
Framework for rapid characterization of fresh properties of cementitious materials using point cloud and machine learning File

Yoon, Jinyoung , Kim, Hyunjun , Ju, Suhwan , Li, Zhanzhao , Pyo, Sukhoon

Article Issue Date2023-10 View19
Ground motion amplification models for Japan using machine learning techniques File

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

Article Issue Date2020-05 View16
Improved Tropical Cyclone Track Simulation over the Western North Pacific using the WRF Model and a Machine Learning Method File

Kim, Kyoungmin , Yoon, Donghyuck , Cha, Dong-Hyun , Im, Jungho

Article Issue Date2023-06 View21
Machine learning-based prediction for maximum displacement of seismic isolation systems File

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

Article Issue Date2022-07 View13
Prediction of effluent concentration in a wastewater treatment plant using machine learning models File

Guo, Hong , Jeong, Kwanho , Lim, Jiyeon , Jo, Jeongwon , Kim, Young Mo , Park, Jong-Pyo , Kim, Joon Ha , Cho, Kyung Hwa

Article Issue Date2015-06 View8
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