Generalizable deep learning forecasting of harmful algal blooms using transfer learning across river systems
Jaegwan Park, Taeseung Park, Dogeon Lee, Jihoon Shin, Kyunghyun Kim, Jin‐Woo Jung, Hongtae Kim, YoonKyung Cha
Ecological Informatics, 2025
12
Geographically weighted machine learning for predicting the spatial distribution of groundwater nitrate nitrogen (NO3-N) concentration
Younghun Lee, Changhyun Kim, Hyemin Jeong, Dongho Kim, Byeongwon Lee, Taeseung Park, Seongyun Kim, D. J. JEON, Jong-Ho Ahn, Jai-Young Lee, YoonKyung Cha, Sangchul Lee
Journal of Hydrology Regional Studies, 2025
13
Development of a self-supervised deep learning framework for chlorophyll-a retrieval in data-scarce inland waters
Bongseok Jeong, Jihoon Shin, YoonKyung Cha
Environmental Modelling & Software, 2025
14
Development of a deep learning–based feature stream network for forecasting riverine harmful algal blooms from a network perspective
Jihoon Shin, YoonKyung Cha
Water Research, 2024
15
Generalizability evaluations of heterogeneous ensembles for river health predictions
Taeseung Park, Jihoon Shin, B.-H. Park, Jeong-Suk Moon, YoonKyung Cha
Ecological Informatics, 2024
16
Generalizability evaluation of heterogeneous ensembles models for benthic macroinvertebrate index predictions
Taeseung Park, Jihoon Shin, YoonKyung Cha
2024
17
Hybrid Deep Learning Approach for Simultaneous Feature Engineering and Explanation of Water Quality Sensor Data 
Jihoon Shin, Young Woo Kim, Taeseung Park, YoonKyung Cha
2024
18
Geographically Weighted Machine Learning for Predicting the Spatial Distribution of Groundwater Nitrate Nitrogen (No3-N) Concentration
Younghun Lee, Changhyun Kim, Hyemin Jeong, Dongho Kim, Byeongwon Lee, T.J. Park, Seongyun Kim, D. J. JEON, Jong-Ho Ahn, Jai-Young Lee, YoonKyung Cha, Sangchul Lee
SSRN Electronic Journal, 2024
19
Simulation Based Tropospheric Error Estimation Performance Analysis with Low Earth Orbit (LEO) Satellites
YoonKyung Cha, Young-Dae Jo, Hyunwoo Kim, Byungwoon Park
Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM), 2024
20
EVALUATION OF GENOTYPE OF BREEDING BULLS BY PROGENY QUALITY
Gulzhan Mussayeva, Shanmuga Sundari I., Manasbayeva N. Sh, Bissembayev A.T, Aкhmetalieva A.B, S.M. Sapuan, YoonKyung Cha