A Performance Study of Deep Neural Network Representations of Interpretable ML on Edge Devices with AI Accelerators

With the rising adoption of machine learning (ML) and deep learning (DL) applications, the demand for deploying these algorithms closer to sensors has grown significantly, particularly in sensor-driven use cases such as predictive maintenance (PM) and condition monitoring (CM). This study investigat...

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