Finite element modeling of the electrical impedance tomography technique driven by machine learning

Author:

Elkhodbia MohamedORCID,Barsoum ImadORCID,Korkees Feras,Bojanampati Shrinivas

Funder

Khalifa University of Science, Technology and Research

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Graphics and Computer-Aided Design,General Engineering,Analysis

Reference59 articles.

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2. Failure prediction in self-sensing nanocomposites via genetic algorithm-enabled piezoresistive inversion;Hassan;Struct. Health Monit.,2020

3. A novel methodology for spatial damage detection and imaging using a distributed carbon nanotube-based composite sensor combined with electrical impedance tomography;Dai;J. Nondestruct. Eval.,2016

4. A. Fouchard, S. Bonnet, L. Hervé, O. David, Flexible numerical platform for electrical impedance tomography, in: COMSOL Conference, Grenoble, 2015.

5. An instrumental electrode model for solving EIT forward problems;Zhang;Physiol. Meas.,2014

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