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...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Hoofdauteurs: Monika Elisabeth Heringhaus, Alexander Buhmann, Jürgen Müller, André Zimmermann
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Elsevier 2022-07-01
Reeks:Array
Onderwerpen:
MEMS
MEMS testing
Graph neural network
Graph representation
Online toegang:http://www.sciencedirect.com/science/article/pii/S259000562200025X
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items