Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...
This paper explore the integration of DNNs with FPGAs and other reconfigurable edge computing devices that are of low cost, to further advance the goals of real-time inferences with minimal ...
Abstract: Detecting anomalies in industrial sound is critical for maintaining operational efficiency, preventing costly equipment failures, and ensuring workplace safety. However, it presents ...
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