Results 61 to 70 of about 3,152 (208)

Exploration of transferable deep learning-aided radio frequency fingerprint identification systems

Security and Safety
Radio frequency fingerprint identification (RFFI) shows great potential as a means for authenticating wireless devices. As RFFI can be addressed as a classification problem, deep learning techniques are widely utilized in modern RFFI systems for their ...
Shen Guanxiong, Zhang Junqing
doaj   +1 more source

The Chronicles of Radio Frequency Fingerprinting

12 pages, 9 ...
Aziz, Abdul, Huso, Ingrid, Sciancalepore, Savio, Oligeri, Gabriele   +3 more
openaire   +2 more sources

Label-Efficient Learning for Radio Frequency Fingerprint Identification

2025 IEEE Wireless Communications and Networking Conference (WCNC)
Abstract: Radio Frequency Fingerprint Identification (RF FID) is a novel approach that aims to differentiate devices based on their unique signal transmissions, rather than their given identities. This approach has promising applications in wireless security, spectrum management, and sensing. Current RFFID research uses deep learning due to its success
Nhem, Thayheng, Denoodt, Fabian, Weyn, Maarten, Peeters, Michael, Oramas, José, Berkvens, Rafael   +5 more
openaire   +2 more sources

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Lightweight Radio Frequency Fingerprint Identification for LoRa

Radio frequency fingerprinting is a key technology that plays an important role in enhancing the security of Internet-of-Things applications. In this paper, we present a new radio frequency fingerprinting system based on a novel feature extraction technique.
Zhongliang Li, Chunlong He, Riqing Liao, Chiya Zhang   +3 more
openaire   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Positioning and guiding educational robots by using fingerprints of WiFi and RFID array

EURASIP Journal on Wireless Communications and Networking, 2018
Positioning educational robots in the indoor ambiance is an important and basic function for robots to provide intelligent educational services for users, and it is still an open challenge problem.
Wenxing Luo, Xu Deng, Feiqing Zhang, Youmei Wen, Dheyaa Jasim Kadhim   +4 more
doaj   +1 more source

Electrically Coded Retinomorphic Spectrophotodetector

Advanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source