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Erëza Abdullahu1, Holger Wache2, Marco Piangerelli1,3

  • 1Computer Science Division, School of Science and Technology, University of Camerino, Via Madonna Delle Carceri 7, 62032 Camerino, Italy.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
概括

本研究介绍了一种混合系统,用于物联网 (IoT) 环境中高效的私人多面识别. 这种轻量级的框架在资源有限的设备上实现了超过95%的准确性,提高了安全性和可扩展性.

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