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Open access Sep 2026

A Multi-Feature Radio-Frequency Framework for UAV Behavioral State Recognition and Prediction

Experiments show that the proposed framework achieves accurate behavioral state recognition and reliable state-transition prediction, while remaining robust under interference and real-world conditions and maintaining real-time processing suitable for resource-constrained deployment.

Runze Mao, Teng Wu, Sheng-Jun Wei et al. · 0 citations

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