PyApprox is a Python-based one-stop-shop for probabilistic analysis of numerical models
such as those used in the earth, environmental and engineering sciences. Easy to use and …

Slurry transportation via pipelines has garnered growing attention across various industries
worldwide, thanks to its efficiency and environmental friendliness. It has emerged as a vital …

Predicting coastal erosion requires an accurate morphodynamic model. XBeach has been
widely adopted to simulate storm-induced coastal erosion. Because of the large number of …

Uncertainty propagation analysis plays a crucial role in understanding the impact of
variations in initial condition, boundary condition, and fluid physical properties on simulation …

Abstract Background and Objective: Numerical simulations in electrocardiology are often
affected by various uncertainties inherited from the lack of precise knowledge regarding …

This study develops a class of robust models for flood risk mapping in highly vulnerable
regions by focusing on accurately depicting extreme precipitation patterns aligned with …

This paper proposes an effective treatment of hyperparameters in the Bayesian inference of
a scalar field from indirect observations. Obtaining the joint posterior distribution of the field …

In this paper, we develop a mathematical model for modelling and simulation of the dam-
break flow through various obstacles. The model used here is an extension of one-layer non …

The Shallow Water model (SWM) provides a simplification of the Navier–Stokes model
(NSM) for stratified flows over a topography when the depth of the fluid layer is small …