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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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2022-07-01
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| シリーズ: | Array |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S259000562200025X |
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