A complete IoT and Machine Learning pipeline that predicts electric motor failures in real time, combining low-cost sensors, an ESP8266 microcontroller, a local TCP server, a Random Forest ...
Set up a working environment for the MRD client/server pair using conda or Docker. In a command prompt, generate a sample raw dataset: python generate_cartesian_shepp_logan_dataset.py -o ...
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