Metrology

Fuente: DOAJ
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Bibliographische Detailangaben
Format: Revista científica
Sprache:EN
Veröffentlicht: MDPI AG 2022
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format Revista científica
id doaj_https___doaj_org_toc_2673-8244
institution DOAJ
language EN
publishDate 2022
publisher MDPI AG
record_format doaj
spellingShingle Metrology
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
title 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
url https://doaj.org/toc/2673-8244