| 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 | 53 | 2020 |
| 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 | 32 | 2022 |
| 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 | 18 | 2021 |
| 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 | 17 | 2021 |
| 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 | 13 | 2006 |
| 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 | 9 | 2021 |
| 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 | 8 | 2019 |
| 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 | 8 | 2005 |
| 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 | 6 | 2017 |
| 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 | 5 | 2023 |
| 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 | 5 | 2016 |
| 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 | 4 | 2014 |
| 봄철 황사현상에 대한 기상장 분석 및 수치모의 김유근， 문윤섭， 오인보， 송상근， 배주현， 임윤규 대기 11 (1), 452-453, 2001 | 3 | 2001 |
| 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 | 2 | 2006 |
| 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 | 1 | 2019 |
| 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 | | 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 |
| 홍수 대비 자동화 기계학습 기법을 이용한 저수량 예측 방안 연구 배주현， 박운지， 박상빈， 임경재 한국농공학회 학술대회초록집 2022, 263-263, 2022 | | 2022 |
| 빅데이터 기반 표토환경 변화 예측 이관재， 배주현， 임경재 한국농공학회지 64 (4), 21-30, 2022 | | 2022 |
Kyoung Jae LimProfessor of Dept. of Regional Infrastructure Eng., Kangwon National University在 kangwon.ac.kr 的电子邮件经过验证
