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20172026
most citedComparison of Polynomial Chaos and Gaussian Process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows

42 citations · 68 across the 7 of their papers we have counts for

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cs.CE2019★ 11 cited

Reconstruction of Hydraulic Data by Machine Learning

Corentin J. Lapeyre, Nicolas Cazard, Pamphile T. Roy +2

Numerical simulation models associated with hydraulic engineering take a wide array of data into account to produce predictions: rainfall contribution to the drainage basin (charac…