Logistic regression for machine learning in process tomography
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 …
learning algorithm for industrial tomography applications. The article presents algorithms …
The use of time-frequency moments as inputs of lstm network for ecg signal classification
This paper refers to the method of using the deep neural long-short-term memory (LSTM)
network for the problem of electrocardiogram (ECG) signal classification. ECG signals …
network for the problem of electrocardiogram (ECG) signal classification. ECG signals …
Comparison of selected machine learning algorithms for industrial electrical tomography
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 …
classic deterministic method in the industrial field of electrical impedance tomography. The …
Comparison of machine learning methods for image reconstruction using the LSTM classifier in industrial electrical tomography
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 …
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
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 …
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 …
industrial processes. The developed method is based on a system of many separately …
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 …
for spatial (3D) monitoring of flood embankments. Therefore, to solve the inverse problem of …
The use of a fault tree analysis (FTA) in the operator reliability assessment of the critical infrastructure on the example of water supply system
Background: Specialist literature indicates a large share of the human factor among the
causes of failure of technical systems at the level of 70 to 90%, which depends on the sector …
causes of failure of technical systems at the level of 70 to 90%, which depends on the sector …
Applying the logistic regression in electrical impedance tomography to analyze conductivity of the examined objects
T Rymarczyk, E Kozłowski… - … Journal of Applied …, 2020 - content.iospress.com
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 …
images. The presented research results show that electric tomography makes it possible to …
Survival function in the analysis of the factors influencing the reliability of water wells operation
K Edward, K Beata, K Dariusz, M Dariusz - Water Resources Management, 2019 - Springer
In common studies on the groundwater intake reliability, suitable methods of statistical
interference are usually employed in order to use the analysis and modelling results in …
interference are usually employed in order to use the analysis and modelling results in …