Automatic Modulation Classification (AMC) is a challenging task in cognitive radio. With the rapid development of deep learning, its powerful feature extraction capability has shown great advantages in AMC. However, deep learning-based modulation classification models are vulnerable to adversarial attacks due to their...
Yu-Xiang Yao, Yan-Die Yang, Qing-Ling Liu et al.· 2026 IEEE/CIC International...· 0 citations
Accurate vessel type recognition from Auto-matic Identification System (AIS) data is critical for mar-itime traffic management, anomaly detection, and security monitoring. While AIS trajectories encode rich kinematic information, the scarcity of annotated samples poses a major bottleneck for purely supervised approache...
Shihao Wang, Yun Lin, Jie Liu et al.· 2026 International Conferenc...· 0 citations
Reliable intelligent sensing over bandwidthlimited and noise-impaired wireless links is a key challenge for resource-constrained Internet-of-Things (IoT) agents. Existing semantic communication methods mainly optimize either image reconstruction or task inference, which limits their use in joint sensing scenarios under...
Jie Liu, Yun Lin, Shihao Wang et al.· 2026 International Conferenc...· 0 citations
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