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 …

This paper presents the results of research on identifying moisture inside the walls of
buildings with the use of electrical impedance tomography (EIT). The original, complex pixel …

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 tomography is a non-invasive method of monitoring the interior of objects, which is
used in various industries. In particular, it is possible to monitor industrial processes inside …

The article presents an innovative concept of improving the monitoring and optimization of
industrial processes. The developed method is based on a system of many separately …

Wet foundations and walls of buildings significantly increase the energy consumption of
buildings, and the drying of walls is one of the priority activities as part of thermal …

This paper refers to an original concept of tomographic measurement of brick wall humidity
using an algorithm based on long short-term memory (LSTM) neural networks. The …

The main goal of this paper is to research and analyze the problem of image reconstruction
performance using machine learning methods in 3D electrical capacitance tomography …