Deep learning-enabled self-powered bimodal flexible sensor for intelligent access control.

Chen J, Wang X, Wang N, Ma Y

Open source

DOI
10.1088/1361-6528/ae83c1
Published
2026 Jul 14
Container
Nanotechnology
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 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:10.1088/1361-6528/ae83c1,
  title = {Deep learning-enabled self-powered bimodal flexible sensor for intelligent access control.},
  author = {Chen J and Wang X and Wang N and Ma Y},
  year = {2026},
  journal = {Nanotechnology},
  doi = {10.1088/1361-6528/ae83c1},
  url = {https://doi.org/10.1088/1361-6528/ae83c1}
}

RIS

TY  - JOUR
TI  - Deep learning-enabled self-powered bimodal flexible sensor for intelligent access control.
AU  - Chen J
AU  - Wang X
AU  - Wang N
AU  - Ma Y
PY  - 2026
JO  - Nanotechnology
DO  - 10.1088/1361-6528/ae83c1
UR  - https://doi.org/10.1088/1361-6528/ae83c1
ER  - 

APA

J, C., X, W., N, W., & Y, M. (2026). Deep learning-enabled self-powered bimodal flexible sensor for intelligent access control.. Nanotechnology. https://doi.org/10.1088/1361-6528/ae83c1

Source records