Sang‐Soo Baek

Prediction of Water Level and Water Quality Using a CNN-LSTM Combined Deep Learning Approach

Sang‐Soo Baek, JongCheol Pyo, Jong Ahn Chun · Water · 2020 · 254 citations · Full text

Convolutional Neural Network, Hydrological Prediction, Environmental Monitoring +21

Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach

Sang‐Soo Baek, Dongho Choi, Jae‐Woon Jung et al. · Water Research · 2015 · 249 citations · Full text

Low Impact Development, Surface Runoff, Engineering +11

A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery

JongCheol Pyo, Hongtao Duan, Sang‐Soo Baek et al. · Remote Sensing of Environment · 2019 · 170 citations

Convolutional Neural Network, Image Analysis, Machine Learning +12

A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds

Sang‐Soo Baek, Mayzonee Ligaray, JongCheol Pyo et al. · Journal of Hydrology · 2020 · 120 citations

Low Impact Development, Urban Watersheds, Engineering +11

Using convolutional neural network for predicting cyanobacteria concentrations in river water

JongCheol Pyo, Lan Joo Park, Yakov Pachepsky et al. · Water Research · 2020 · 113 citations

River Water, Convolutional Neural Network, Cyanobacteria Concentrations +7