Logistic regression for machine learning in process tomography

T Rymarczyk, E Kozłowski, G Kłosowski, K Niderla - Sensors, 2019 - mdpi.com
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 …

Structural engineering from an inverse problems perspective

A Gallet, S Rigby, TN Tallman… - … of the Royal …, 2022 - royalsocietypublishing.org
The field of structural engineering is vast, spanning areas from the design of new
infrastructure to the assessment of existing infrastructure. From the onset, traditional entry …

Comparison of machine learning methods for image reconstruction using the LSTM classifier in industrial electrical tomography

G Kłosowski, T Rymarczyk, K Niderla, M Rzemieniak… - Energies, 2021 - mdpi.com
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 …

Quality assessment of the neural algorithms on the example of EIT-UST hybrid tomography

G Kłosowski, T Rymarczyk, T Cieplak, K Niderla… - Sensors, 2020 - mdpi.com
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 …

[PDF][PDF] Innovative methods of neural reconstruction for tomographic images in maintenance of tank industrial reactors

T RymARczyk, G Kłosowski - Eksploatacja i Niezawodność, 2019 - bibliotekanauki.pl
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 …

Application of capacitive techniques to investigate water transport and other durability indicators of cement-based materials: A review

W Wang, P Zhang, J Bao, Y Feng - Journal of Building Engineering, 2024 - Elsevier
Abstract Service life and durability of concrete structures have become one of the most
concerning issues in civil engineering because of their economic and ecological …

Historical buildings dampness analysis using electrical tomography and machine learning algorithms

T Rymarczyk, G Kłosowski, A Hoła, J Hoła, J Sikora… - Energies, 2021 - mdpi.com
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 …

[HTML][HTML] Use of the double-stage LSTM network in electrical tomography for 3D wall moisture imaging

G Kłosowski, A Hoła, T Rymarczyk, M Mazurek… - Measurement, 2023 - Elsevier
This paper deals with a new two-step algorithmic method to improve the accuracy of imaging
moisture in building walls using electrical impedance tomography (EIT). The problem of …

Electrical impedance tomography in 3D flood embankments testing–elastic net approach

T Rymarczyk, E Kozłowski… - Transactions of the …, 2020 - journals.sagepub.com
The article presents non-destructive testing based on electrical impedance tomography (EIT)
for spatial (3D) monitoring of flood embankments. Therefore, to solve the inverse problem of …

Development and application of a novel low-cost capacitive sensor for accurate rebar position detection

Y Cheng, S Diao, A Hanif, P Parthasarathy… - Construction and Building …, 2020 - Elsevier
A novel effective while low-cost capacitive transducer (CT), which can precisely measure
rebar size and reinforcement position in both x-axis and y-axis under concrete cover using …