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ISSN 打å°: 2152-5080
ISSN 在线: 2152-5099
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DOI: 10.1615/Int.J.UncertaintyQuantification.v13.i5
Table of Contents:
A STOCHASTIC DOMAIN DECOMPOSITION AND POST-PROCESSING ALGORITHM FOR EPISTEMIC UNCERTAINTY QUANTIFICATION
Mahadevan Ganesh, S. C. Hawkins, Alexandre M. Tartakovsky, Ramakrishna Tipireddy
Mahadevan Ganesh
Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden,
Colorado 80401, USA
S. C. Hawkins
School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW 2109,
Australia
Alexandre M. Tartakovsky
Pacific Northwest National Laboratory, MSIN K7-90, Richland, Washington 99352, USA; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA
Ramakrishna Tipireddy
Pacific Northwest National Laboratory, MSIN K7-90, Richland,
Washington 99352, USA
1-22 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023045687
COMBINED DATA AND DEEP LEARNING MODEL UNCERTAINTIES: AN APPLICATION TO THE MEASUREMENT OF SOLID FUEL REGRESSION RATE
Georgios Georgalis, Kolos Retfalvi, Paul E. Desjardin, Abani Patra
Georgios Georgalis
Data Intensive Studies Center, Tufts University, Medford, Massachusetts 02155, USA
Kolos Retfalvi
Department of Mechanical and Aerospace Engineering, University at Buffalo, The State
University of New York, Buffalo, New York 14260, USA
Paul E. Desjardin
Department of Mechanical and Aerospace Engineering, University at Buffalo, The State
University of New York, Buffalo, New York 14260, USA
Abani Patra
Data Intensive Studies Center, Tufts University, Medford, Massachusetts 02155, USA; Department of Mathematics, Tufts University, Medford, Massachusetts 02155, USA
23-40 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023046610
UNCERTAINTY QUANTIFICATION BY GAUSSIAN RANDOM FIELDS FOR POINT-LIKE EMISSIONS FROM SATELLITE OBSERVATIONS
Teemu Härkönen, Anu-Maija Sundström, Johanna Tamminen, Janne Hakkarainen, Esa Vakkilainen, Heikki Haario
Teemu Härkönen
LUT University, Lappeenranta, 53850, Finland
Anu-Maija Sundström
Finnish Meteorological Institute, Helsinki, 00560, Finland
Johanna Tamminen
Finnish Meteorological Institute, Helsinki, 00560, Finland
Janne Hakkarainen
Finnish Meteorological Institute, Helsinki, 00560, Finland
Esa Vakkilainen
LUT University, Lappeenranta, 53850, Finland
Heikki Haario
LUT University, Lappeenranta, 53850, Finland
41-59 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023044906
QUANTIFYING UNCERTAIN SYSTEM OUTPUTS VIA THE MULTI-LEVEL MONTE CARLO METHOD−DISTRIBUTION AND ROBUSTNESS MEASURES
Q. Ayoul-Guilmard, Sundar Ganesh, S. Krumscheid, Fabio Nobile
Q. Ayoul-Guilmard
Calcul Scientifique et Quantification de l'Incertitude (CSQI), Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Switzerland
Sundar Ganesh
Calcul Scientifique et Quantification de l'Incertitude (CSQI), Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Switzerland
S. Krumscheid
Steinbuch Center for Computing, and Institute for Applied and Numerical Mathematics,
Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
Fabio Nobile
Calcul Scientifique et Quantification de l'Incertitude (CSQI), Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Switzerland
61-98 页数
DOI: 10.1615/Int.J.UncertaintyQuantification.2023045259
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