Deep learning for simultaneous measurements of pressure and temperature using arch resonators

DOI10.1016/j.apm.2021.01.006zbMath1481.74016OpenAlexW3118749368MaRDI QIDQ823497

Mehdi Ghommem, Fehmi Najar, Vladimir Evgenievich Puzyrev

Publication date: 24 September 2021

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2021.01.006

zbMATH Keywords

deep learningreduced-order modelsqueeze-film dampingpressure and temperature measurementsshallow arch beam

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Thermal effects in solid mechanics (74F05) Stress (74A10)

Related Items (2)

Semi-supervised learning-assisted imaging method for electrical capacitance tomography ⋮ Deep learning for gas sensing using MOFs coated weakly-coupled microbeams

Uses Software

• Adam

Cites Work

• Unnamed Item
• Fluid sensing using microcantilevers: from physics-based modeling to deep learning

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