Quality prediction for milling processes: automated parametrization of an end-to-end machine learning pipeline

The application of modern edge computing solutions within machine tools increasingly empowers the recording and further processing of internal data streams. The datasets derived by contextualized data acquisition form the basis for the development of novel data-driven approaches for quality monitori...

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