This paper presents the results of research on the use of machine learning algorithms and
electrical tomography in detecting humidity inside the walls of old buildings and structures …

Electrical impedance tomography (EIT) is a promising functional and structural imaging
method in process tomography. However, due to the “soft-field” nature and the high …

We present a forward-backward-based algorithm to minimize a sum of a differentiable
function and a nonsmooth function, both being possibly nonconvex. The main contribution of …

Electrical impedance tomography (EIT) is an imaging technology for estimating the
conductivity change for the measured field of the human body. However, because EIT image …

Electrical resistance tomography (ERT)‐based distributed surface sensing systems, or
sensing skins, offer alternative sensing techniques for structural health monitoring, providing …

The idea of accounting for a priori shape information is gaining increasing levels of interest
and traction in the electrical impedance tomography (EIT) reconstruction. A supershape …

Electrical capacitance tomography (ECT), widely used for industrial measurements, reflects
the permittivity distribution of the imaging region by measuring capacitance. The image …

A dynamic imaging method using electrical/ultrasonic dual-modality tomography is
proposed to reconstruct the time-varying distribution based on the Bayesian inversion …

Objective. To date, measurement of the conductivity and relative permittivity properties of
anisotropic biological tissues using electrical impedance myography (EIM) has only been …

First-Order Primal–Dual Methods for Nonsmooth Non-convex Optimization Page 1 First-Order
Primal–Dual Methods for Nonsmooth Non-convex Optimization Tuomo Valkonen Contents …