The main goal of the research presented in this paper was to develop a refined machine
learning algorithm for industrial tomography applications. The article presents algorithms …

Monitoring of industrial processes is an important element ensuring the proper maintenance
of equipment and high level of processes reliability. The presented research concerns the …

The main goal of this work was to compare the selected machine learning methods with the
classic deterministic method in the industrial field of electrical impedance tomography. The …

The article presents machine learning methods in the field of reconstruction of tomographic
images. The presented research results show that electric tomography makes it possible to …

We discuss a numerical model (macro/micro/nanoscopic) to enable more accurate analysis
of electro-hydro-dynamic (EMHD) processes in water at the level of atoms. Dedicated …

Purpose The purpose of this study is to develop a reconstruction and measurement system
for data analysis using ultrasonic transmission tomography. The problem of reconstruction …

Abstract Machine learning techniques are playing a key role in tomography. Process
tomography, also known as industrial tomography, uses a variety of physical phenomena …

The paper presents the results of research on the use of tomographic sensors to analyze
industrial processes using dedicated measuring devices, image reconstruction algorithms …

The principal objective of this research is to conceive a mobile system based on electrical
tomography for subsurface imaging and monitoring in order to enable simultaneous …

The article presents an innovative solution for assessing the moisture level of walls and
building condition. The use of modern tomographic techniques allows for a non-destructive …