Results 91 to 100 of about 3,152 (208)
A Generic Machine Learning Framework for Radio Frequency Fingerprinting
Fingerprinting radio frequency (RF) emitters typically involves finding unique characteristics that are featured in their received signal. These fingerprints are nuanced, but sufficiently detailed, motivating the pursuit of methods that can successfully extract them. The downstream task that requires the most meticulous RF fingerprinting (RFF) is known
Alex Hiles, Bashar I. Ahmad
openaire +2 more sources
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source
Prevention and Detection Methods for Enhancing Security in an RFID System
Low-cost radio frequency identification (RFID) tag is exposed to various security and privacy threats due to computational constraint. This paper proposes the use of both prevention and detection techniques to solve the security and privacy issues.
Jing Huey Khor +2 more
doaj +1 more source
Inspired by biological ion transport, this work introduces self‐powered multifunctional sensors utilizing tailored hydrogel stacks. Optimizing ionic migration with MXenes and carbon nanotubes achieves high‐performance energy harvesting and unique logic circuit functionality.
Haoran Chen +9 more
wiley +1 more source
Extreme‐Thickness Meta‐Membrane for Controlling Terahertz Vectorial Beams
We propose ultra‐thin (λ/30) transmissive terahertz metasurfaces combining near‐field resonant and detour phases in coupled‐slit meta‐atoms, enabling continuous phase and polarization control beyond conventional designs. Based on leaky‐mode theory, scalar and vectorial terahertz Bessel beams at 0.39 THz are experimentally demonstrated, with ...
Yufei Song +7 more
wiley +1 more source
Few‐shot cross‐receiver radio frequency fingerprinting identification based on feature separation
Radio frequency fingerprint identification (RFFI) is a widely used technique for authenticating equipment. It identifies transmitters by extracting hardware defects found in the RF front end.
Yuchen Hu +5 more
doaj +1 more source
Atomic coordination editing functions as an on/off switch that toggles single‐atom catalysts between CO2 electroreduction and hydrogen evolution. ABSTRACT Precise atomic coordination editing of single‐atom catalysts (SACs) provides an effective strategy to tune their electronic structures and catalytic selectivity. Yet, achieving near‐unity selectivity
Yukun Zhao +11 more
wiley +1 more source
Radio frequency fingerprint identification method based on syntactic recognition
To address the difficulty in feature extraction due to channel characteristics and noise influence, a method based on syntactic pattern recognition was proposed.
CHEN Yanjun, HU Aiqun
doaj
A RSBU-LSTM network for radio frequency fingerprint identification relying on multiple features
Radio frequency fingerprint identification (RFFI) can distinguish highly similar wireless communication devices to protect physical layer security and improve the security of wireless networks effectively, which has been widely used for spectrum ...
Haoran Ling, Fengchao Zhu, Minli Yao
doaj +1 more source
Epsilon‐near‐zero (ENZ) silicon carbide enables a selective far‐infrared emitter spectrally aligned with the human skin window around 10 µm for wavelength‐matched thermal therapy. In 25 within‐subject trials (50 hands) monitored by laser speckle contrast imaging, SiC increases blood perfusion by 30.2% versus a broadband graphite emitter while ...
Wen‐Teng Yao +3 more
wiley +1 more source

