Metrology

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Формат: Online
Язык:EN
Опубликовано: MDPI AG 2022
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Online-ссылка:2673-8244
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collection Directory of Open Access
format Online
id oai:doaj.orgir-journal:830d02637eb74817921a4c91bd0ea65e
institution Directory of Open Access
language EN
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher MDPI AG
publisherStr MDPI AG
record_format ojs
spelling oai:doaj.orgir-journal:830d02637eb74817921a4c91bd0ea65e2026-01-15T10:39:06ZMetrology2673-8244https://doaj.org/toc/2673-8244ENCC BYMDPI AGhttps://www.mdpi.com/journal/metrology/abouthttps://www.mdpi.com/apchttps://www.mdpi.com/journal/metrology/instructionshttps://www.mdpi.com/journal/metrology2022-11-16T13:55:16Zjournalcyberphysical systemsmachine learning for metrologymetrology for sustainable manufacturingmeasurement uncertainty in dynamic processesElectronic computers. Computer scienceQA75.5-76.95Applied mathematics. Quantitative methodsT57-57.97
spellingShingle cyberphysical systems
machine learning for metrology
metrology for sustainable manufacturing
measurement uncertainty in dynamic processes
Electronic computers. Computer science
QA75.5-76.95
Applied mathematics. Quantitative methods
T57-57.97
Metrology
title Metrology
title_full Metrology
title_fullStr Metrology
title_full_unstemmed Metrology
title_short Metrology
title_sort metrology
topic cyberphysical systems
machine learning for metrology
metrology for sustainable manufacturing
measurement uncertainty in dynamic processes
Electronic computers. Computer science
QA75.5-76.95
Applied mathematics. Quantitative methods
T57-57.97
topic_facet cyberphysical systems
machine learning for metrology
metrology for sustainable manufacturing
measurement uncertainty in dynamic processes
Electronic computers. Computer science
QA75.5-76.95
Applied mathematics. Quantitative methods
T57-57.97
url 2673-8244