Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures microwave engineering. The fundamental reason is a considerable-and often prohibitive-CPU cost of massive full-wave electromagnetic (EM) analyses related solving common tasks such as parametric optimization or uncertainty quantification. most popular class surro...

Abstract Heteroscedastic Gaussian process regression, based on the concept of chained processes, is used to build surrogates predict site-specific loads an offshore wind turbine. Stochasticity in inflow turbulence and irregular waves results load responses that are best represented as random variables rather than deterministic values. Moreover, effect these stochastic sources depends strongly m...

Abstract Natural disasters may lead to failure of critical assets part railway systems. Slope often results in major economic consequences. Due the importance that railways systems have, it is pertinent ensure good performance and long‐term. The objective present research propose tools allow obtaining probability soil slopes under a seismic event by employing surrogate models ease computational...

Deformable joint contact models can be used to estimate loading conditions for cartilage-cartilage, implant-implant, human-orthotic, and foot-ground interactions. However, contact evaluations are often so expensive computationally that they can be prohibitive for simulations or optimizations requiring thousands or even millions of contact evaluations. To overcome this limitation, we developed a...

Introduction. ER, PR, and HER2 are routinely available in breast cancer specimens. The purpose of this study is to contrast breast cancer-specific survival for the eight ER/PR/HER2 subtypes with survival of an immunohistochemical surrogate for the molecular subtype based on the ER/PR/HER2 subtypes and tumor grade. Methods. We identified 123,780 cases of stages 1-3 primary female invasive breast...