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Joo Hyun Bae
Joo Hyun Bae
Other names배 주현
Agriculture and Life Sciences Research Institute, Kangwon National University
Verified email at pusan.ac.kr - Homepage
Title
Cited by
Cited by
Year
Development and evaluation of the combined machine learning models for the prediction of dam inflow
J Hong, S Lee, JH Bae, J Lee, WJ Park, D Lee, J Kim, KJ Lim
Water 12 (10), 2927, 2020
552020
Estimation of rainfall erosivity factor in Italy and Switzerland using Bayesian optimization based machine learning models
S Lee, JH Bae, J Hong, D Yang, P Panagos, P Borrelli, JE Yang, J Kim, ...
Catena 211, 105957, 2022
362022
Prediction of aquatic ecosystem health indices through machine learning models using the WGAN-based data augmentation method
S Lee, J Kim, G Lee, J Hong, JH Bae, KJ Lim
Sustainability 13 (18), 10435, 2021
202021
Evaluation of rainfall erosivity factor estimation using machine and deep learning models
J Lee, S Lee, J Hong, D Lee, JH Bae, JE Yang, J Kim, KJ Lim
Water 13 (3), 382, 2021
192021
Improvement in the simulation of sea surface wind over the complex coastal area using WRF model
YK Kim, JH Jeong, JH Bae, IB Oh, JH Kweon, JW Seo
Journal of Korean Society for Atmospheric Environment 22 (3), 309-323, 2006
132006
Comparison of machine learning algorithms for discharge prediction of multipurpose dam
J Hong, S Lee, G Lee, D Yang, JH Bae, J Kim, K Kim, KJ Lim
Water 13 (23), 3369, 2021
112021
Evaluation of sediment trapping efficiency of vegetative filter strips using machine learning models
JH Bae, J Han, D Lee, JE Yang, J Kim, KJ Lim, JC Neff, WS Jang
Sustainability 11 (24), 7212, 2019
82019
Study on planetary boundary layer schemes suitable for simulation of sea surface wind in the southeastern coastal area
Y Kim, JH Jeong, JH Bae, SK Song, JW Seo
J. Environ. Sci 14, 1015-1026, 2005
82005
Development of multi-inflow prediction ensemble model based on auto-sklearn using combined approach: Case study of soyang river dam
S Lee, J Kim, JH Bae, G Lee, D Yang, J Hong, KJ Lim
Hydrology 10 (4), 90, 2023
72023
A Study on Prediction Techniques through Machine Learning of Real-time Solar Radiation in Jeju
YM Lee, JH Bae, J Park
Journal of Environmental Science International 26 (4), 521-527, 2017
62017
A Study on fog forecasting method through data mining techniques in Jeju
YM Lee, JH Bae, DB Park
Journal of Environmental Science International 25 (4), 603-613, 2016
52016
A New Importance Measure of Association Rules Using Information Theory
CH Lee, JH Bae
Journal of the Korea Information Processing Society Transactions on Software …, 2014
42014
봄철 황사현상에 대한 기상장 분석 및 수치모의
김유근, 문윤섭, 오인보, 송상근, 배주현, 임윤규
대기 11 (1), 452-453, 2001
32001
A hybrid deep learning approach for streamflow prediction utilizing watershed memory and process-based modeling
BA Yifru, KJ Lim, JH Bae, W Park, S Lee
Hydrology Research 55 (4), 498-518, 2024
22024
Improvements in the Simulation of Sea Surface Wind Over the Complex Coastal Area-II: Data Assimilation Using LAPS
JH Bae, YK Kim, JH Jeong, JH Kweon, JW Seo, YS Kim
Journal of Environmental Science International 15 (8), 745-757, 2006
22006
A study on regularization methods to evaluate the sediment trapping efficiency of vegetative filter strips
JH Bae, J Han, JE Yang, J Kim, KJ Lim, WS Jang
Journal of the Korean Society of Agricultural Engineers 61 (6), 9-19, 2019
12019
Estimating exploitable groundwater for agricultural use under environmental flow constraints using an integrated SWAT-MODFLOW model
BA Yifru, S Lee, S Bak, JH Bae, H Shin, KJ Lim
Agricultural Water Management 303, 109024, 2024
2024
A Study on Time Series Cross-Validation Techniques for Enhancing the Accuracy of Reservoir Water Level Prediction Using Automated Machine Learning TPOT
JH Bae, WJ Park, S Lee, TS Park, SB Park, J Kim, KJ Lim
Journal of the Korean Society of Agricultural Engineers 66 (1), 1~13, 2024
2024
기계 학습 기법을 이용한 PM2.5 결측치 추정
정하윤, 배주현, 곽경환
한국대기환경학회 학술대회논문집, 132-132, 2022
2022
Dam Inflow Prediction and Evaluation Using Hybrid Auto-sklearn Ensemble Model
S Lee, JH Bae, G Lee, D Yang, J Hong, J Kim, KJ Lim
Proceedings of the Korea Water Resources Association Conference, 307-307, 2022
2022
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