Conformity assessment of measuring instruments with artificial intelligence

Author:

Esche Marko,Meyer Reinhard,Nischwitz Martin

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference17 articles.

1. EC, Directive 2014/32/EU of the European Parliament and of the Council of 26 February 2014on the harmonisation of the laws of the Member States relating to the making available on the market of measuring instruments; European Union, Council of the European Union ; European Parliament, Directive, February 2014

2. IT-Grundschutz-Kompendium, Glossar: Datensicherheit; Bundesamt für Sicherheit in der Informationstechnik; 2020; https://www.bsi.bund.de/DE/Themen/ITGrundschutz/ITGrundschutzKompendium/vorkapitel/Glossar_.html

3. M. Esche and F. Thiel, Software risk assessment for measuring instruments in legal metrology; in: Proceedings of the Federated Conference on Computer Science and Information Systems, Lodz, Poland,September 2015, pp. 1113–1123

4. N. O’Mahony, S. Campbell, A. Carvalho, S. Harapanahalli, G. Hernandez, L. Krpalkova, D. Riordan and J. Walsh, Deep Learning vs. Traditional Computer Vision; in: Advances in Computer Vision, Springer Verlag, 2020, https://doi.org/10.1007/978-3-030-17795-9_10

5. DIN SPEC 92001-1:2019-04, Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model; Beuth Verlag GmbH, DOI: 10.31030/ 3050203

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