Abstract: Skeleton-based human action recognition aims to classify human skeletal sequences, which are spatiotemporal representations of actions, into predefined categories. To reduce the reliance on ...
PHOENIX — House and Senate appropriators have released the text of a final appropriations bill for fiscal 2026 that largely rejects the steep cuts the Trump administration proposed for NASA. The ...
Abstract: Modulation recognition in electronic support measures systems is challenging due to the scarcity of labeled data. To address this, we propose a Dual-Loop Meta-Learning network for automatic ...
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