Publisher
Springer Nature Switzerland
Reference12 articles.
1. Abbott, M.B.: Hydroinformatics: Information Technology and The Aquatic Environment: Avebury Technical. Aldershot, UK (1991). p. 145
2. Sit, M., Demiray, B.Z., Xiang, Z., Ewing, G.J., Sermet, Y., Demir, I.: A comprehensive review of deep learning applications in hydrology and water resources. Water Sci. Technol. 82(12), 2635–2670 (2020)
3. Demir, I., Xiang, Z., Demiray, B. Z., Sit, M.: WaterBench: a large-scale benchmark dataset for data-driven streamflow forecasting. EarthArxiv. (2021)
4. Gautam, A., Sit, M., Demir, I.: Realistic river image synthesis using deep generative adversarial networks. Front. Water 4, 784441 (2020). https://doi.org/10.31223/osf.io/n5b7h
5. Ramirez, C.E., Sermet, Y., Molkenthin, F., Demir, I.: HydroLang: an opensource web-based programming framework for hydrological sciences. EarthArxiv. (2021)