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This research shows a promising approach to reuse textile waste, and much more value-added applications in line with the derived CNCs could be expected.Anomaly recognition is becoming more and more important to improve reliability and resiliency in the market 4.0 framework. In this work, we investigate different ways for anomaly detection on in-production manufacturing machines considering their variability, both in procedure and in wear conditions. We show the way the nature of the readily ava
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