Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection.

Ronando E, Inoue S

Open source

DOI
10.3390/s25113324
Published
2025 May 25
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/s25113324,
  title = {Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection.},
  author = {Ronando E and Inoue S},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25113324},
  url = {https://doi.org/10.3390/s25113324}
}

RIS

TY  - JOUR
TI  - Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection.
AU  - Ronando E
AU  - Inoue S
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25113324
UR  - https://doi.org/10.3390/s25113324
ER  - 

APA

E, R., & S, I. (2025). Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25113324

Source records