most citedCombined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 3 cited

Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate

Georgios Georgalis, Kolos Retfalvi, Paul E. DesJardin +1

In complex physical process characterization, such as the measurement of the regression rate for solid hybrid rocket fuels, where both the observation data and the model used have…