Results 121 to 130 of about 3,846 (183)

Lasso Monte Carlo, a variation on multi fidelity methods for high-dimensional uncertainty quantification. [PDF]

J Appl Stat
Albà A, Boiger R, Rochman D, Adelmann A.   +3 more
europepmc   +1 more source

PyThia: A Python package for Uncertainty Quantification based on non-intrusive polynomial chaos expansions

Journal of Open Source Software, 2023
Nando Hegemann, Sebastian Heidenreich
openaire   +1 more source

Influence of material parameter variability on the predicted coronary artery biomechanical environment via uncertainty quantification. [PDF]

Biomech Model Mechanobiol
Berggren CC, Jiang D, Jack Wang YF, Bergquist JA, Rupp LC, Liu Z, MacLeod RS, Narayan A, Timmins LH.   +8 more
europepmc   +1 more source

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium. [PDF]

Front Physiol, 2021
Fresca S, Manzoni A, Dedè L, Quarteroni A.   +3 more
europepmc   +1 more source

Uncertainty Quantification and Sensitivity Analysis for Non-invasive Model-Based Instantaneous Wave-Free Ratio Prediction. [PDF]

Int J Numer Method Biomed Eng
Dalmaso C, Fossan FE, Bråten AT, Müller LO.   +3 more
europepmc   +1 more source

Data-driven models and digital twins for sustainable combustion technologies. [PDF]

iScience
Parente A, Swaminathan N.
europepmc   +1 more source

Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation. [PDF]

Sci Rep
Spiliotis K, Appali R, Fontes Gomes AK, Payonk JP, Adrian S, van Rienen U, Starke J, Köhling R.   +7 more
europepmc   +1 more source

Non-intrusive sparse polynomial chaos expansions and global sensitivity analysis

, 2018
openaire   +3 more sources

Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network. [PDF]

Sci Rep
V A, Elayidom M S.
europepmc   +1 more source