grant
Collaborative Research: Improving Zero-Shot Learning of Manufacturing Anomalies by Leveraging Textual Sources
Organization Regents of the University of Michigan - DearbornLocation Dearborn, United StatesPosted 1 Sept 2025Deadline 31 Aug 2028
NSFUS FederalResearch GrantScience FoundationMI
Description preview
In advanced manufacturing systems, anomalies such as unexpected deviations from normal process behavior can lead to defective products or production disruptions. Detecting these anomalies early is essential for maintaining product quality and reducing waste. However, identifying such faults is challenging, especially when their occurrence is rare…
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