Machine-Learning-Assisted Buried-Window FET Sensors for High-Reliability and High-Sensitivity Applications.

Mehrad M, Zareiee M

Open source

DOI
10.3390/s26041171
Published
2026 Feb 11
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s26041171,
  title = {Machine-Learning-Assisted Buried-Window FET Sensors for High-Reliability and High-Sensitivity Applications.},
  author = {Mehrad M and Zareiee M},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26041171},
  url = {https://doi.org/10.3390/s26041171}
}

RIS

TY  - JOUR
TI  - Machine-Learning-Assisted Buried-Window FET Sensors for High-Reliability and High-Sensitivity Applications.
AU  - Mehrad M
AU  - Zareiee M
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26041171
UR  - https://doi.org/10.3390/s26041171
ER  - 

APA

M, M., & M, Z. (2026). Machine-Learning-Assisted Buried-Window FET Sensors for High-Reliability and High-Sensitivity Applications.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26041171

Source records