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Machine learning in safety critical industry domains

Autor: Linnosmaa, Joonas, Tikka, Petri, Suomalainen, Jani, Papakonstantinou, Nikolaos

Publikováno v: Linnosmaa, J, Tikka, P, Suomalainen, J & Papakonstantinou, N 2020, Machine learning in safety critical industry domains . VTT Research Report, no. VTT-R-01124-20, VTT Technical Research Centre of Finland, Tampere .

This report is an introduction to machine learning, and it focuses on topics that can be seen as challenging on safety critical domains such as nuclear power industry. The requirements for designing, developing and testing a safety-critical system fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::465d455010edc93aa5755c8acf3d4eae
https://cris.vtt.fi/ws/files/41628494/VTT_R_01124_20.pdf

Development of the Framework for a Self-Assessment Tool to Assess the Effectiveness of Reporting within a Safety Critical Industry

Autor: Douglas, Ewan, Cromie, Sam, Leva, Chiara

Publikováno v: Conference papers

There is currently a large amount of literature to provide guidance on the areas that should be considered when developing a reporting system. However there is no current methodology of monitoring the performance and compliance of a reporting system.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eca7723369a77a522ebc8cf3ab4e78df
https://arrow.tudublin.ie/schfsehcon/23