Müller - Compression of an array of similar crash test simulation results

Compression of an array of similar crash test simulation results

Medium: Buch

ISBN: 978-3-8325-5444-6

Verlag: Logos

Erscheinungstermin: 05.02.2022

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Big data thrives on extracting knowledge from a large number of data sets. But how is an application possible when a single data set is several gigabytes in size?

The innovative data compression techniques from the field of machine learning and modeling using Bayesian networks, which have been theoretically developed and practically implemented here, can reduce these huge amounts of data to a manageable size. By eliminating redundancies in location, time, and between simulation results, data reductions to less than 1% of the original size are possible. The developed method represents a promising approach whose use goes far beyond the application example of crash test simulations chosen here.

Produkteigenschaften

Artikelnummer: 9783832554446
Medium: Buch
ISBN: 978-3-8325-5444-6
Verlag: Logos
Erscheinungstermin: 05.02.2022
Sprache(n): Englisch
Auflage: Erscheinungsjahr 2022
Produktform: Kartoniert, PB
Seiten: 232
Format (B x H): 170 x 240 mm
Ausgabetyp: Kein, Unbekannt

Compression of an array of similar crash test simulation results

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Compression of an array of similar crash test simulation results

Beschreibung

Autoren/Hrsg.

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