28 citations as recorded by crossref.

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5. Atmospheric dispersion modeling using Artificial Neural Network based cellular automata P. Lauret et al. 10.1016/j.envsoft.2016.08.001
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9. Uncertainty Estimation in Hydrogeological Forecasting with Neural Networks: Impact of Spatial Distribution of Rainfalls and Random Initialization of the Model N. Akil et al. 10.3390/w13121690
10. Identification of spatial and temporal contributions of rainfalls to flash floods using neural network modelling: case study on the Lez basin (southern France) T. Darras et al. 10.5194/hess-19-4397-2015
11. Evolution of Flood Prediction and Forecasting Models for Flood Early Warning Systems: A Scoping Review N. Byaruhanga et al. 10.3390/w16131763
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18. Flash flood modeling using the artificial neural network (Case study: Welang Watershed, Pasuruan District, Indonesia . Suhardi et al. 10.1088/1755-1315/419/1/012123
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20. Impact of suspicious streamflow data on the efficiency and parameter estimates of rainfall–runoff models C. Thébault et al. 10.1080/02626667.2023.2234893
21. Data-Driven Process Optimization Considering Surrogate Model Prediction Uncertainty: A Mixture Density Network-Based Approach S. Yang et al. 10.1021/acs.iecr.0c04214
22. The application of Dynamic Linear Bayesian Models in hydrological forecasting: Varying Coefficient Regression and Discount Weighted Regression M. Ciupak et al. 10.1016/j.jhydrol.2015.10.023
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24. Neural networks for karst groundwater management: case of the Lez spring (Southern France) L. Kong-A-Siou et al. 10.1007/s12665-015-4708-9
25. Improving the forecast precision of river stage spatial and temporal distribution using drain pipeline knowledge coupled with BP artificial neural networks: a case study of Panlong River, Kunming, China Z. Xie et al. 10.1007/s11069-015-1648-3
26. On the potential of variational calibration for a fully distributed hydrological model: application on a Mediterranean catchment M. Jay-Allemand et al. 10.5194/hess-24-5519-2020
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