1 citations · 1 across the 1 of their papers we have counts for
3 papers
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network
Ekhi Ajuria Illarramendi, Michaël Bauerheim, Bénédicte Cuenot
The resolution of the Poisson equation is usually one of the most computationally intensive steps for incompressible fluid solvers. Lately, Deep Learning, and especially Convolutio…
A statistical model to predict ignition probability
Lucas Esclapez, Félix Collin-Bastiani, Eleonore Riber +1
Ignition capability is a critical design constraint for aeronautical gas turbines. However the current trend toward overall lean burn is detrimental to the engine ignition and reli…
Sounding Spider: An Efficient Way for Representing Uncertainties in High Dimensions
Pamphile T. Roy, Sophie Ricci, Bénédicte Cuenot +1
This article proposes a visualization method for multidimensional data based on: (i) Animated functional Hypothetical Outcome Plots (f-HOPs); (ii) 3-dimensional Kiviat plot; and (i…