International Journal for Uncertainty Quantification
Publicado 6 números por año
ISSN Imprimir: 2152-5080
ISSN En Línea: 2152-5099
IF:
1.7
5-Year IF:
1.9
Immediacy Index:
0.5
Eigenfactor:
0.0007
JCI:
0.5
SJR:
0.584
SNIP:
0.676
CiteScore™::
3
H-Index:
25
Indexed in
Volumen 9, 2019 Edición 1
DOI: 10.1615/Int.J.UncertaintyQuantification.v9.i1
PROPAGATION OF MODELING UNCERTAINTY IN STOCHASTIC HEAT-TRANSFER SIMULATION USING A CHAIN OF DETERMINISTIC MODELS
pp. 1-14
DOI: 10.1615/Int.J.UncertaintyQuantification.2018027275
ENSEMBLE KALMAN FILTERS FOR RELIABILITY ESTIMATION IN PERFUSION INFERENCE
pp. 15-32
DOI: 10.1615/Int.J.UncertaintyQuantification.2018024865
ASSESSING THE PERFORMANCE OF LEJA AND CLENSHAW-CURTIS COLLOCATION FOR COMPUTATIONAL ELECTROMAGNETICS WITH RANDOM INPUT DATA
pp. 33-57
DOI: 10.1615/Int.J.UncertaintyQuantification.2018025234
MODEL STRUCTURAL INFERENCE USING LOCAL DYNAMIC OPERATORS
pp. 59-83
DOI: 10.1615/Int.J.UncertaintyQuantification.2019025828
STOCHASTIC MODELING OF MAGNETIC HYSTERETIC PROPERTIES BY USING MULTIVARIATE RANDOM FIELDS
pp. 85-102
DOI: 10.1615/Int.J.UncertaintyQuantification.2019025638
Último edicion
Próximos Artículos
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models