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 deals with the problem of detecting moisture in the walls of historical buildings.
As part of the presented research, the following four methods based on mathematical …

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 …

Drying is one of the most energy-intensive food processing technologies and can contribute
to greenhouse gas (GHG) emissions. Therefore, novel nonthermal pretreatment methods …

Woody breast (WB) myopathy is a major muscle abnormality in chicken fillets, causing
excessive hardness and chewiness. The WB condition can potentially cause big economical …

This paper presents an application for the monitoring of leaks in flood embankments by
reconstructing images in electrical tomography using logistic regression machine learning …

Because of their exceptional qualities and high nutritional content, fruit and vegetable juices
are an indispensable component of a healthy diet. The juices must first go through the …

A networked tomographic data acquisition device architectured with FPGA is developed to
provide remotely-reconfigurable waveform functions for emission of excitation signals. The …

This article presents comparative research to verify the suitability of selected machine
learning methods for the problem of solving the inverse problem in electrical impedance …