In many situations across computational science and engineering, multiple computational
models are available that describe a system of interest. These different models have varying …

Much recent work has been devoted to utilizing changes in either the inherent or imparted
electrical conductivity of self-sensing materials as an indicator of damage, deformation or …

Inverse problems arise from the need to interpret indirect and incomplete measurements. As
an area of contemporary mathematics, the field of inverse problems is strongly driven by …

Electrical impedance tomography (EIT) is developed to investigate the internal conductivity
changes of an object through a series of boundary electrodes, and has become increasingly …

Frequency-difference electrical impedance tomography (fdEIT) was originally developed to
mitigate the systematic artifacts induced by modeling errors when a baseline dataset is …

In this paper, we consider the reconstruction of three-dimensional (3-D) conductivity
distribution using electrical impedance tomography (EIT) technique. A high-resolution and …

The aim of this paper is to provide researchers dealing with inverse heat transfer problems a
review of the Bayesian approach to inverse problems, the related modeling issues, and the …

As an emerging technology for continuous monitoring of a bounded domain, electrical
impedance tomography (EIT) gains increasing popularity in various applications. Despite …

Electrical impedance tomography is a highly unstable problem with respect to measurement
and modeling errors. This instability is especially severe when absolute imaging is …

Electrical impedance tomography (EIT) is a powerful tool for nondestructive evaluation, state
estimation, and process tomography, among numerous other use cases. For these …