Dai Zihao, Galdi Vincenzo
Fields & Waves Lab, Department of Engineering, University of Sannio, Italy.
School of Electronic Science and Engineering, University of Electronic Science and Technology of China, China.
Natl Sci Rev. 2025 Aug 6;12(9):nwaf319. doi: 10.1093/nsr/nwaf319. eCollection 2025 Sep.
A wireless sensing platform combining smart metasurfaces, orthogonal frequency division multiplexing, and artificial intelligence achieves real-time, non-invasive classification of hazardous liquids in sealed containers with high accuracy and robustness.
一个结合了智能超表面、正交频分复用和人工智能的无线传感平台,能够以高精度和鲁棒性对密封容器中的危险液体进行实时、非侵入式分类。