Abstract: The data produced by millions of connected devices and smart sensors in the Industrial Internet of Things (IIoT) is highly dynamic, large-scale, heterogeneous, and time-stamped. These ...

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An end-to-end Machine Learning pipeline designed to run directly on edge devices (like the STM32) for real-time industrial anomaly detection. This project uses a 1-Dimensional Convolutional ...