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Imbalanced Semi-Supervised Learning for WiFi Gesture Recognition via Dynamic Threshold-Based Spatio-Temporal Attention Networks

Title: Imbalanced Semi-Supervised Learning for WiFi Gesture Recognition via Dynamic Threshold-Based Spatio-Temporal Attention Networks
Authors: Feng, Qihua; Duan, Chunhui; Xue, Jiawei; Li, Chaozhuo; Huang, Feiran; Zhang, Xi; Weng, Jian; Yu, Philip S.
Contributors: National Natural Science Foundation of China; Beijing Institute of Technology Research Fund Program for Young Scholars; Science and Technology Major Project of Tibetan Autonomous Region of China; Open Research Fund of Machine Learning and Cyber Security Interdiscipline Research Engineering Center of Jiangsu Province; National Joint Engineering Research Center of Network Security Detection and Protection Technology; Guangdong Key Laboratory of Data Security and Privacy Preserving; Guangdong Hong Kong Joint Laboratory for Data Security and Privacy Protection; Engineering Research Center of Trustworthy AI; Ministry of Education; Fundamental Research Funds for the Central Universities
Source: IEEE Transactions on Mobile Computing ; volume 25, issue 1, page 483-499 ; ISSN 1536-1233 1558-0660 2161-9875
Publisher Information: Institute of Electrical and Electronics Engineers (IEEE)
Publication Year: 2026
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1109/tmc.2025.3592965
Availability: https://doi.org/10.1109/tmc.2025.3592965; http://xplorestaging.ieee.org/ielx8/7755/11275706/11097060.pdf?arnumber=11097060
Rights: https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html ; https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037
Accession Number: edsbas.4F6D349A
Database: BASE