수문분야에서의 딥러닝 적용 사례 |
Jeong, Seong-Ho
(경북대학교 미래과학기술융합학과)
Lee, Dae-Eop (경북대학교 재난대응전략연구소) Hien, Le Xuan (경북대학교 재난대응전략연구소) Yeon, Min-Ho (경북대학교 미래과학기술융합학과) Lee, Gi-Ha (경북대학교 미래과학기술융합학과) |
1 | 박해선. (2020). "혼자 공부하는 머신러닝+딥러닝.", 한빛미디어. |
2 | Immerzeel, W. (2010). "Bias correction for satellite precipitation estimation used by the MRC Mekong flood forecasting system." FutureWater Report, 94. |
3 | Jung, S., Cho, H., Kim, J., Lee, G. (2018). "Prediction of water level ina tidal river using a deep-learning based LSTM model." Journal of Korea Water Resources Association, Vol. 51, No. 12, pp. 1207-1216. |
4 | Karimpouli S., Tahmasebi P. (2019). "Segmentation of digital rock images using deep convolutional autoencoder networks." Computers and Geosciences, Vol. 126, pp. 142-150. DOI |
5 | Masci J., Meier U., Ciresan D., and Schmidhuber, J. (2011). "Stacked convolutional auto-encoders for hierarchical feature extraction." International conference on artificial neural networks, Springer, Berlin, Heidelberg, pp. 52-59. |
6 | Lee, G. H., Jung, S. H., and Lee, D. E. (2018). "Comparison of physicsbased and data-driven models for streamflow simulation of the Mekong river." Journal of Korea Water Resources Association, Vol. 51, No. 6, pp. 503-514. DOI |
7 | Park N.J. and Ko H.S. (2020). "Agglomerative Hierarchical Clustering Analysis with Deep Convolutional Autoencoders." Journal of Korea Multimedia Society, Vol. 23, No. 1, pp. 1-7. |
8 | Sit, M., Demiray, B. Z., Xiang, Z., Ewing, G. J., Sermet, Y., and Demir, I. (2020). "A comprehensive review of deep learning applications in hydrology and water resources." Water Science and Technology, Vol. 82, No. 12, pp. 2635-2670. DOI |
9 | Le X.H., Lee G.H., Jung K.S., An H.U., and Lee S.S. (2020). "Application of Convolutional Neural network for Spatiotemporal Bias Correction of Daily Satellite-Based Precipitation." Remote Sensing, Vol. 12, No. 17, pp. 2731. DOI |