| Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials ZH Jaffari, H Jeong, J Shin, J Kwak, C Son, YG Lee, S Kim, K Chon, ... Chemical Engineering Journal 466, 143073, 2023 | 59 | 2023 |
| Machine learning-based water quality prediction using octennial in-situ Daphnia magna biological early warning system data H Jeong, S Park, B Choi, CS Yu, JY Hong, TY Jeong, KH Cho Journal of Hazardous Materials 465, 133196, 2024 | 13 | 2024 |
| Automatic classification of microplastics and natural organic matter mixtures using a deep learning model S Lee, H Jeong, SM Hong, D Yun, J Lee, E Kim, KH Cho Water Research 246, 120710, 2023 | 13 | 2023 |
| Simulation models of microbial community, pH, and volatile fatty acids of anaerobic digestion developed by machine learning SI Yu, H Jeong, J Shin, SG Shin, A Abbas, D Yun, H Bae, KH Cho Journal of Water Process Engineering 60, 105225, 2024 | 5 | 2024 |
| Enhancing flow rate prediction of the Chao Phraya River Basin using SWAT–LSTM model coupling K Phetanan, SM Hong, D Yun, J Lee, S Chotpantarat, H Jeong, KH Cho Journal of Hydrology: Regional Studies 53, 101820, 2024 | 3 | 2024 |
| Characterizing water quality and quantity profiles with poor quality data in a machine learning algorithm Z Kim, H Jeong, S Shin, J Jung, JH Kim, SJ Ki Desalination and Water Treatment 182, 127-134, 2020 | 2 | 2020 |
| Distribution coefficient prediction using multimodal machine learning based on soil adsorption factors, XRF, and XRD spectrum data S Na, H Jeong, I Kim, SM Hong, J Shim, IH Yoon, KH Cho Journal of Hazardous Materials 478, 135285, 2024 | | 2024 |
| Spatial prediction of groundwater salinity in multiple aquifers of the Mekong Delta region using explainable machine learning models H Jeong, A Abbas, HG Kim, H Van Hoan, P Van Tuan, PT Long, E Lee, ... Water Research, 122404, 2024 | | 2024 |
| Modeling freshwater plankton community dynamics with static and dynamic interactions using graph convolution embedded long short-term memory HG Kim, EY Jung, H Jeong, H Son, SS Baek, KH Cho Water Research, 122401, 2024 | | 2024 |
| Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes H Jeong, B Yun, S Na, M Son, SH Chae, CM Kim, KH Cho Journal of Membrane Science 709, 123105, 2024 | | 2024 |
| A hybrid approach to improvement of watershed water quality modeling by coupling process–based and deep learning models DS Jeong, H Jeong, JH Kim, JH Kim, Y Park Water Environment Research 96 (8), e11079, 2024 | | 2024 |
| Explainable machine learning-based spatial prediction of groundwater salinity in multiple aquifers H Jeong, KH Cho, E Lee, A Abbas, HV Hoan, PV Tuan, PT Long AGU Fall Meeting Abstracts 2023, H11F-05, 2023 | | 2023 |
| Comparing watershed management strategies at different spatial scales under future climate scenarios using SWAT H Jeong, B Kim, JH Kim, SJ Yi, JD Kim, SJ Ki Desalination and Water Treatment 219, 413-422, 2021 | | 2021 |
Kyung Hwa ChoKorea University在 korea.ac.kr 的电子邮件经过验证
