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Graph neural networks for parameter estimation in micro-electro-mechanical system testing

Micro-electro-mechanical systems (MEMS) are of great importance in a broad range of applications including vehicle safety and consumer electronics. During the testing of these devices, large heterogeneous data sets containing a variety of parameters are recorded. Aiming to substitute costly measurem...

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Bibliografski detalji
Glavni autori: Monika Elisabeth Heringhaus, Alexander Buhmann, Jürgen Müller, André Zimmermann
Format: Artigo
Jezik:Inglês
Izdano: Elsevier 2022-07-01
Serija:Array
Teme:
Online pristup:http://www.sciencedirect.com/science/article/pii/S259000562200025X
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