Comparison of Machine Learning Methods for Image Reconstruction Using the LSTM Classifier in Industrial Electrical Tomography

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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 reactors and tanks using tomography. Tomography enables real-time observation of crystals or gas bubbles gro...

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Bibliographic Details
Main Authors:	Grzegorz Kłosowski, Tomasz Rymarczyk, Konrad Niderla, Magdalena Rzemieniak, Artur Dmowski, Michał Maj
Format:	article
Language:	EN
Published:	MDPI AG 2021
Subjects:	electrical tomography industrial tomography machine learning neural networks long short-term memory (LSTM) networks Technology T
Online Access:	https://doaj.org/article/825b2602f3fb4e5c98256a043769b9d5
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