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Logistic Regression for Machine Learning in Process Tomography

Logistic Regression for Machine Learning in Process Tomography

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_76aac811724d4a529d7dc4ebabacdec8

Logistic Regression for Machine Learning in Process Tomography

About this item

Full title

Logistic Regression for Machine Learning in Process Tomography

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2019-08, Vol.19 (15), p.3400

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

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 based on logistic regression in relation to image reconstruction using electrical impedance tomography (EIT) and ultrasound transmission tomography (UST). The test object w...

Alternative Titles

Full title

Logistic Regression for Machine Learning in Process Tomography

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_76aac811724d4a529d7dc4ebabacdec8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_76aac811724d4a529d7dc4ebabacdec8

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s19153400

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