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My bibliography Save this articleA Novel Stacked Long Short-Term Memory Approach of Deep Learning for Streamflow Simulation
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- Ioannis Kotaridis & Maria Lazaridou, 2022. "Integration of convolutional neural networks for flood risk mapping in Tuscany, Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3409-3424, December.
- Jincheng Zhou & Dan Wang & Shahab S. Band & Changhyun Jun & Sayed M. Bateni & M. Moslehpour & Hao-Ting Pai & Chung-Chian Hsu & Rasoul Ameri, 2023. "Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 3953-3972, August.
- Liao, Qingtao, 2023. "Intelligent classification model of land resource use using deep learning in remote sensing images," Ecological Modelling, Elsevier, vol. 475(C).
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Keywords
machine learning; hydrological modelling; stochastic models; SLSTM; SWAT;All these keywords.
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