Machine Learning-Based Small Hydropower Potential Prediction under Climate Change by Jaewon Jung, Heechan Han, Kyunghun Kim, Hung Soo Kim

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Dam inflow prediction using large-scale climate variability and deep learning approach: a case study in South Korea by Heechan Han, Donghyun Kim, Wonjoon Wang, Hung Soo Kim

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Modeling Streamflow Enhanced by Precipitation from Atmospheric River Using the NOAA National Water Model: A Case Study of the Russian River Basin for February 2004 by Heechan Han, Jungho Kim, V. Chandrasekar, Jeongho Choi, Sanghun Lim

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Machine learning approach for the estimation of missing precipitation data: a case study of South Korea by Heechan Han, Boran Kim, Kyunghun Kim, Donghyun Kim, Hung Soo Kim

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Application of an Ensemble Stationary-Based Category-Based Scoring Support Vector Regression to Improve Drought Prediction in the Upper Colorado River Basin by Mohammad Hadi Bazrkar, Heechan Han, Tadesse Abitew, Seonggyu Park, Negin Zamani, Jaehak Jeong

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Application of Deep Learning Models and Network Method for Comprehensive Air-Quality Index Prediction by Donghyun Kim, Heechan Han, Wonjoon Wang, Yujin Kang, Hoyong Lee, Hung Soo Kim

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