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 paper presents the results of research on the hybrid industrial tomograph electrical
impedance tomography (EIT) and ultrasonic tomography (UST)(EIT-UST), operating on the …

The article presents an innovative concept of enhancing the flood embankments and
landfills monitoring. The key advantage of such a solution is to obtain a more detailed …

In response to the growing sustainability concerns, manufacturing companies have to
formulate measures to assess sustainable manufacturing performance, aiming at integration …

The flow control and optimization system based on industrial tomography is presented in this
publication. Multiphase flow measurement technologies are still being built and improved …

Purpose The paper aims to present an innovative solution for evaluation study of the
dampness level of walls and historical buildings. Design/methodology/approach Electrical …

In this article, we describe the electrical tomography system for biomedical applications.
Electrical tomography for pulmonology and heart monitoring is a non-invasive imaging …

The research evaluates the vehicular routing problem for distributing refrigerated products.
The mathematical model corresponds to the vehicle routing problem with hard time windows …