| Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach SS Baek, DH Choi, JW Jung, HJ Lee, H Lee, KS Yoon, KH Cho Water research 86, 122-131, 2015 | 280 | 2015 |
| Prediction of water level and water quality using a CNN-LSTM combined deep learning approach SS Baek, J Pyo, JA Chun Water 12 (12), 3399, 2020 | 160 | 2020 |
| A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery JC Pyo, H Duan, S Baek, MS Kim, T Jeon, YS Kwon, H Lee, KH Cho Remote Sensing of Environment 233, 111350, 2019 | 144 | 2019 |
| A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds SS Baek, M Ligaray, J Pyo, JP Park, JH Kang, Y Pachepsky, JA Chun, ... Journal of Hydrology 586, 124886, 2020 | 92 | 2020 |
| Using convolutional neural network for predicting cyanobacteria concentrations in river water JC Pyo, LJ Park, Y Pachepsky, SS Baek, K Kim, KH Cho Water Research 186, 116349, 2020 | 82 | 2020 |
| Evaluation of random forest and regression tree methods for estimation of mass first flush ratio in urban catchments M Jeung, S Baek, J Beom, KH Cho, Y Her, K Yoon Journal of Hydrology 575, 1099-1110, 2019 | 68 | 2019 |
| Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration S Park*, SS Baek*, JC Pyo, Y Pachepsky, J Park, KH Cho Journal of Membrane Science 587, 117164, 2019 | 64 | 2019 |
| Assessment of a green roof practice using the coupled SWMM and HYDRUS models SS Baek, M Ligaray, Y Pachepsky, JA Chun, KS Yoon, Y Park, KH Cho Journal of environmental management 261, 109920, 2020 | 58 | 2020 |
| Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method JH Kim, JK Shin, H Lee, DH Lee, JH Kang, KH Cho, YG Lee, K Chon, ... Water Research 207, 117821, 2021 | 57 | 2021 |
| Recent advances in touch sensors for flexible wearable devices AH Anwer, N Khan, MZ Ansari, SS Baek, H Yi, S Kim, SM Noh, C Jeong Sensors 22 (12), 4460, 2022 | 56 | 2022 |
| Comparative studies of different imputation methods for recovering streamflow observation M Kim, S Baek, M Ligaray, J Pyo, M Park, KH Cho Water 7 (12), 6847-6860, 2015 | 53 | 2015 |
| Identification and enumeration of cyanobacteria species using a deep neural network SS Baek*, JC Pyo*, Y Pachepsky, Y Park, M Ligaray, CY Ahn, YH Kim, ... Ecological Indicators 115, 106395, 2020 | 52 | 2020 |
| A machine learning approach for early warning of cyanobacterial bloom outbreaks in a freshwater reservoir Y Park, HK Lee, JK Shin, K Chon, SH Kim, KH Cho, JH Kim, SS Baek Journal of Environmental Management 288, 112415, 2021 | 48 | 2021 |
| Watershed-scale modeling on the fate and transport of polycyclic aromatic hydrocarbons (PAHs) M Ligaray*, SS Baek*, HO Kwon, SD Choi, KH Cho Journal of hazardous materials 320, 442-457, 2016 | 47 | 2016 |
| Modeling of NF/RO membrane fouling and flux decline using real-time observations J Park, K Jeong, S Baek, S Park, M Ligaray, TH Chong, KH Cho Journal of Membrane Science 576, 66-77, 2019 | 45 | 2019 |
| Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage JC Pyo, KH Cho, K Kim, SS Baek, G Nam, S Park Water Research 203, 117483, 2021 | 37 | 2021 |
| Replacing the internal standard to estimate micropollutants using deep and machine learning SS Baek, Y Choi, J Jeon, JC Pyo, J Park, KH Cho Water Research 188, 116535, 2021 | 32 | 2021 |
| Hydrometeorological Influence on Antibiotic‐Resistance Genes (ARGs) and Bacterial Community at a Recreational Beach in Korea J Jang, M Kim, S Baek, J Shin, J Shin, SG Shin, YM Kim, KH Cho Journal of hazardous materials 403, 123599, 2021 | 31 | 2021 |
| Unique microbial module regulates the harmful algal bloom (Cochlodinium polykrikoides) and shifts the microbial community along the Southern Coast of Korea Y Cui, SJ Chun, SS Baek, SH Baek, PJ Kim, M Son, KH Cho, CY Ahn, ... Science of The Total Environment 721, 137725, 2020 | 28 | 2020 |
| An integrative remote sensing application of stacked autoencoder for atmospheric correction and cyanobacteria estimation using hyperspectral imagery JC Pyo, H Duan, M Ligaray, M Kim, S Baek, YS Kwon, H Lee, T Kang, ... Remote Sensing 12 (7), 1073, 2020 | 25 | 2020 |
Kyung Hwa ChoKorea University在 korea.ac.kr 的电子邮件经过验证
