Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose
- DOI
- 10.3390/s24041294
- Published
- 2024-02-17
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s24041294,
title = {Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose},
author = {Alberto Gudiño-Ochoa and Julio Alberto García-Rodríguez and Raquel Ochoa-Ornelas and Jorge Ivan Cuevas-Chávez and Daniel Alejandro Sánchez-Arias},
year = {2024},
journal = {Sensors},
doi = {10.3390/s24041294},
url = {https://doi.org/10.3390/s24041294}
}RIS
TY - JOUR TI - Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose AU - Alberto Gudiño-Ochoa AU - Julio Alberto García-Rodríguez AU - Raquel Ochoa-Ornelas AU - Jorge Ivan Cuevas-Chávez AU - Daniel Alejandro Sánchez-Arias PY - 2024 JO - Sensors DO - 10.3390/s24041294 UR - https://doi.org/10.3390/s24041294 ER -
APA
Gudiño-Ochoa, A., García-Rodríguez, J. A., Ochoa-Ornelas, R., Cuevas-Chávez, J. I., & Sánchez-Arias, D. A. (2024). Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose. Sensors. https://doi.org/10.3390/s24041294
Source records
- crossref · retrieved 2026-09-27T07:47:22.977Z