JongCheol Pyo

The AKARI/IRC mid-infrared all-sky survey

Daisuke Ishihara, Tadamasa Onaka, Hirokazu Kataza et al. · Astronomy and Astrophysics · 2010 · 609 citations · Full text

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

Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil

JongCheol Pyo, Seok Min Hong, Yong Sung Kwon et al. · The Science of The Total Environment · 2020 · 175 citations · Full text

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