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Machine learning project for classifying steel plate faults using the UCI Steel Plates Faults dataset. Includes a binary surface/structural classifier and a multiclass fault-type classifier, along …
A Python-based analytics service that reads raw production data from the local database and calculates key performance indicators (KPIs) such as OEE, cycle times, availability, and quality for the …
A lightweight Python service that collects real-time machine and process data from the Festo 5G Smart Lab via OPC UA and stores it in a local SQL database on a Raspberry Pi.