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pro vyhledávání: '"MARSHALL, ALAN"'
Background: Frailty, a state of increased vulnerability to adverse health outcomes, has garnered significant attention in research and clinical practice. Existing constructs aggregate clinical features or health deficits into a single score. While si
Externí odkaz:
http://arxiv.org/abs/2403.00472
Autor:
Marshall, Alan
Publikováno v:
History Today. Apr2024, Vol. 74 Issue 4, p56-67. 12p.
Radio frequency fingerprint identification (RFFI) is an emerging technique for the lightweight authentication of wireless Internet of things (IoT) devices. RFFI exploits unique hardware impairments as device identifiers, and deep learning is widely d
Externí odkaz:
http://arxiv.org/abs/2308.07433
Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing the signal distortions caused by the intrinsic hardware impairments. State-of-the-art neural networks have been adopted for RFFI. However, many neural networ
Externí odkaz:
http://arxiv.org/abs/2207.03001
Autor:
Shen, Guanxiong, Zhang, Junqing, Marshall, Alan, Woods, Roger, Cavallaro, Joseph, Chen, Liquan
Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique, which exploits the hardware characteristics of the RF front-end as device identifiers. RFFI is implemented in the wireless receiver and acts to extract
Externí odkaz:
http://arxiv.org/abs/2207.02999
Radio frequency fingerprint identification (RFFI) can uniquely classify wireless devices by analyzing the received signal distortions caused by the intrinsic hardware impairments. The state-of-the-art deep learning techniques such as convolutional ne
Externí odkaz:
http://arxiv.org/abs/2111.14275