With the rapid development of electric vehicles (EVs), the wireless power transfer (WPT)
technology of EV is becoming more and more mature. The safety of human electromagnetic …

In uncertainty analysis, surrogate modeling techniques demonstrate high efficiency and
reliable precision in estimating the uncertainty for the finite difference time domain (FDTD) …

The nonintrusive polynomial chaos expansion method is used to quantify the uncertainty of
a stochastic system. It potentially reduces the number of numerical simulations in modeling …

A global–local attention-based feature reconstruction (GLAFR) surrogate model is proposed
for uncertainty analysis (UA) in ground penetrating radar (GPR) simulation. The uncertain …

The article deals with stochastic-deterministic thermal dosimetry in lower portion of GHz
frequency range for human exposure to radiation from 5G communication systems …

The paper reviews the application of deterministic‐stochastic models in some areas of
computational electromagnetics. Namely, in certain problems there is an uncertainty in the …

The nonintrusive polynomial chaos (NIPC) expansion method is one of the most frequently
used methods for uncertainty quantification (UQ) due to its high computational efficiency and …

Artificial neural networks (ANNs) have appeared as a potential alternative for uncertainty
quantification (UQ) in the finite difference time-domain (FDTD) computation. They are …

The uncertainty analysis (UA) in simulation results is essential when the acceptability of the
results is considered. This letter introduces an improved intrusive generalized polynomial …

This study evaluates the variance of specific absorption rate (SAR) due to expected variance
in the dielectric properties of tissues in a 3D anatomical human head model exposed to a …