Abstract: Deep learning (DL) is widely used in radio frequency fingerprint identification (RFFI). However, in few-shot case, traditional DL-based RFFI need to construct auxiliary dataset to realize ...
Background There is growing recognition in the literature of the ‘Herculean’ efforts required to bring about change in healthcare processes and systems. Leadership is recognised as a critical lever ...
Abstract: This brief presents an edge-AIoT speech recognition system, which is based on a new spiking feature extraction (SFE) method and a PoolFormer (PF) neural network optimized for implementation ...
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