Autumn 2022 | Product peek
Analyse design space data easily with Multivariate Clustering techniques for efficient decision making
by Mauro Munerato, Alessandro Viola | ESTECO
Futurities Year 19 n°3, Autumn 2022
When dealing with enormous amounts of data, analysing them is a challenging task. Clustering techniques come in handy for such data analyses.
Multivariate Analysis (MVA) refers to statistical techniques used to analyse datasets with a lot of variables to consequently identify patterns. It allows you to better understand the design space and the relationships between the variables before formulating the optimization study, making the process more efficient.
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Spring 2023 | Product peek
Identifying unknown material properties using reverse engineering by combining materials databases and artificial intelligence
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Tuesday 20 June 2023 | 17:00 UTC | Multibody Dynamics Community Meeting
The NAFEMS Multibody Dynamics Working Group is hosting the free webinar Handling Flexible Bodies in Multibody Dynamics
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12-16 Giugno 2023 | International Foundry Trade Fair
MAGMASOFT ed EnginSoft al GIFA 2023
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