| Computer vision in precipitation nowcasting: Applying image quality assessment metrics for training deep neural networks QK Tran, S Song Atmosphere 10 (5), 244, 2019 | 105 | 2019 |
| Water level forecasting based on deep learning: A use case of Trinity River-Texas-The United States QK Tran, S Song Journal of KIISE 44 (6), 607-612, 2017 | 61 | 2017 |
| Multi-channel weather radar echo extrapolation with convolutional recurrent neural networks QK Tran, S Song Remote Sensing 11 (19), 2303, 2019 | 47 | 2019 |
| Learning pattern of hurricane damage levels using semantic web resources QK Tran, S Song International Journal of Computational Science and Engineering 20 (4), 492-500, 2019 | 1 | 2019 |
| Matrix Completion for Storm Damages Prediction. QK Tran, JH Um, S Song ISWC (Posters & Demos), 2015 | 1 | 2015 |
| Applying deep recurrent neural networks for Hourly Multi-step Multi-site Rainfall Forecasting: A use-case of Gangwon Province, Korea QK Tran, CG Park, BJ Kim, S Song 한국기상학회 학술대회 논문집, 148-148, 2019 | | 2019 |
| 딥러닝 기반 침수 수위 예측: 미국 텍사스 트리니티강 사례연구: 미국 텍사스 트리니티강 사례연구 송사광 한국정보과학회 학술발표논문집, 555-557, 2016 | | 2016 |
| Development of disaster damage estimation system based on inductive reasoning JH Um, TQ Khai, SK Song Proceedings of the 2015 International Conference on Big Data Applications …, 2015 | | 2015 |
| Application of Online-trained ANN and Parallel Computing in 2D Airfoil Optimization TQ Khai, T Van Hoai, NA Thi VNU-HCM Journal of Science and Technology Development 49 (4A), 225-234, 2011 | | 2011 |
Sa-kwang SongPrincipal Researcher at KISTI, Professor at USTVerified email at kisti.re.kr
