Extreme Edge Computing for Secure and Private Multimodal Biometric Identification in Intelligent IoT Systems
- DOI
- 10.3390/s26123756
- Published
- 2026-06-12
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26123756,
title = {Extreme Edge Computing for Secure and Private Multimodal Biometric Identification in Intelligent IoT Systems},
author = {José Antonio de la Torre and Fernando Rincón and Soledad Escolar and Antonio Caruso and Julián Caba and Jesús Barba},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26123756},
url = {https://doi.org/10.3390/s26123756}
}RIS
TY - JOUR TI - Extreme Edge Computing for Secure and Private Multimodal Biometric Identification in Intelligent IoT Systems AU - José Antonio de la Torre AU - Fernando Rincón AU - Soledad Escolar AU - Antonio Caruso AU - Julián Caba AU - Jesús Barba PY - 2026 JO - Sensors DO - 10.3390/s26123756 UR - https://doi.org/10.3390/s26123756 ER -
APA
Torre, J. A. D. L., Rincón, F., Escolar, S., Caruso, A., Caba, J., & Barba, J. (2026). Extreme Edge Computing for Secure and Private Multimodal Biometric Identification in Intelligent IoT Systems. Sensors. https://doi.org/10.3390/s26123756
Source records
- crossref · retrieved 2026-09-25T06:14:52.080Z