Data-based surrogate modeling and performance prediction of MEMS touch mode capacitive sensing using deep multilayer perceptron networks

Pushparaj E, Sumit Kumar Jindal

Open source

DOI: 10.3389/frai.2026.1960066
Published: 2026-10-19
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1960066,
  title = {Data-based surrogate modeling and performance prediction of MEMS touch mode capacitive sensing using deep multilayer perceptron networks},
  author = {Pushparaj E and Sumit Kumar Jindal},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1960066},
  url = {https://doi.org/10.3389/frai.2026.1960066}
}

RIS

TY  - JOUR
TI  - Data-based surrogate modeling and performance prediction of MEMS touch mode capacitive sensing using deep multilayer perceptron networks
AU  - Pushparaj E
AU  - Sumit Kumar Jindal
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1960066
UR  - https://doi.org/10.3389/frai.2026.1960066
ER  -

APA

E, P., & Jindal, S. K. (2026). Data-based surrogate modeling and performance prediction of MEMS touch mode capacitive sensing using deep multilayer perceptron networks. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1960066

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crossref · retrieved 2026-11-06T17:37:55.219Z