Forthcoming Articles

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

Kolos Retfalvi
Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA

Paul E. DesJardin
Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA

Abani Patra
Data Intensive Studies Center and Department of Mathematics, Tufts University, Medford, MA, 02155

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

Anu-Maija Sundström
Finnish Meteorological Institute

Johanna Tamminen
Finnish Meteorological Institute

Janne Hakkarainen
Finnish Meteorological Institute

Esa Vakkilainen
LUT University

Heikki Haario
LUT University

DOI: 10.1615/Int.J.UncertaintyQuantification.2023044906

An adaptive strategy for sequential designs of multilevel computer experiments Ayao Ehara, Serge Guillas

Ayao Ehara
University College London