A multi-level redundancy mitigation framework is validated on DED audio-visual defect detection, cutting latency by 91%, error rate by 47%, and storage by 99.4%.
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review
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Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing
A multi-level redundancy mitigation framework is validated on DED audio-visual defect detection, cutting latency by 91%, error rate by 47%, and storage by 99.4%.