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Data-driven Uncertainty Quantification in Computational Human Head Models
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Data-driven Uncertainty Quantification in Computational Human Head Models

K. Upadhyay
Dimitris G. Giovanis
A. Alshareef
A. Knutsen
Curtis L. Johnson
A. Carass
P. Bayly
Michael D. Shields
K. Ramesh
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Papers citing "Data-driven Uncertainty Quantification in Computational Human Head Models"

2 / 2 papers shown
Title
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
Dimitris G. Giovanis
Dimitrios Loukrezis
Ioannis G. Kevrekidis
Michael D. Shields
77
4
0
30 Jan 2024
Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications
Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications
Nicholas E. Silionis
Theodora Liangou
K. Anyfantis
AI4CE
122
1
0
14 Feb 2023