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Akademický článek

Development of a machine learning framework to determine optimal alloy composition based on steel hardenability prediction

Autor: Louis Allen, Alex Gill, Andrew Smith, Dominic Hill, Peyman Z. Moghadam, Joan Cordiner

Publikováno v: Digital Chemical Engineering, Vol 9, Iss , Pp 100118- (2023)

Mechanical property prediction plays a crucial role in the steel industry, enabling better materials selection and enhancing production efficiency. In this study, we propose a novel framework that facilitates optimal materials selection for steel’s

Externí odkaz: https://doaj.org/article/776ad3fe3b60465ca99c5f17cd39b404

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Jews and Catholics

Autor: Louis Allen

Publikováno v: Vichy France and the Resistance ISBN: 9781003190387
Vichy France and the Resistance

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::edb282e73e8114dce77665e209fec879
https://doi.org/10.4324/9781003190387-6

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Data visualization for Industry 4.0: A stepping-stone toward a digital future, bridging the gap between academia and industry

Autor: Peyman Z. Moghadam, Louis Allen, Jack Atkinson, Dinusha Jayasundara, Joan Cordiner

Publikováno v: Patterns

Here, we analyze the potential of advanced data-visualization dashboards as an enabling technology for Industry 4.0. High-dimensional, real-time visualization allows the graphical expression of complex process variables at a fraction of the cost of f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a80554437de5f2898772e592ad83e9e6
http://europepmc.org/articles/PMC8134912

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