Results 11 to 20 of about 15,047 (284)
Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation
Machine Learning and Knowledge ExtractionThe use of transfer learning (TL) techniques has become common practice in fields such as computer vision (CV) and natural language processing (NLP). Leveraging prior knowledge gained from data with different distributions, TL offers higher performance ...
Lauren J. Wong +3 more
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Machine Learning for Radio Frequency Fingerprinting
Wireless communication networks require robust authentication meth-ods to safeguard against unauthorized access and potential threats.Traditional authentication techniques, such as cryptographic hand-shakes, while effective, have limitations, including increased networkoverhead and vulnerability of secret keys.
Mathew, Lisa, Yadav, Pinki
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Revisiting Adaptive Frequency Hopping Map Prediction in Bluetooth with Machine Learning Classifiers
Energies, 2021 Thanks to the frequency hopping nature of Bluetooth, sniffing Bluetooth traffic with low-cost devices has been considered as a challenging problem. To this end, BlueEar, a state-of-the-art low-cost sniffing system with two Bluetooth radios proposes a set
Janggoon Lee, Chanhee Park, Heejun Roh
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Machine Learning for Practical Localization System Using Multiview CSI
IEEE Access, 2020 Various machine learning techniques on indoor localization using radio signals are being rapidly developed to achieve a sub-meter accuracy under noisy and complex environments. A fingerprint database using channel state information (CSI) extracted from a
Minseuk Kim +2 more
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Advanced Electronic Materials, 2023 Intelligent soft robotics and wearable electronics require flexible, wireless radio frequency (RF) pressure sensors for human‐like tactile perception of their moving parts.
Baochun Xu +9 more
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Edge Machine Learning Techniques Applied to RFID for Device-Free Hand Gesture Recognition [PDF]
, 2022 Gesture recognition is a novel technology that aims to change the way people interact with machines. Existing solutions typically recognize gestures using camera vision, wearable sensors, or specialized signals (e.g., WiFi, sound, and visible light), but
Carotenuto R. +4 more
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Same Frequency Interference Detection in Radio Broadcast Based on Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2019 Aiming at the problem of same frequency interference which is rather prominent in radio interference,deep learning is applied to the interference signals detection,and a new algorithm for detecting same frequency interference in frequency modulation ...
LIU Yuling, HOU Jin, ZHANG Xiaoyu, CHEN Zeng
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Advances in Visible Light Communication Technologies and Applications
Photonics, 2022 With the development of light emitting diode (LED) lighting technology and its wide applications, visible light communication (VLC) technology has also seen significant advancements.
Zuhang Geng +3 more
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, 2021 We classify, by supervised machine learning methods, the Electro-Magnetic radiation in the Ultra-High Frequency band recorded close to the transformer of one of the 12 valve branches of a 800 kV HVDC converter.
Wei, Jianguo +13 more
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Spectrum Sensing Implemented with Improved Fluctuation-Based Dispersion Entropy and Machine Learning
Entropy, 2021 Spectrum sensing is an important function in radio frequency spectrum management and cognitive radio networks. Spectrum sensing is used by one wireless system (e.g., a secondary user) to detect the presence of a wireless service with higher priority (e.g.
Gianmarco Baldini +2 more
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