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to identify links between extracted features and representative printing artifacts or process anomalies. For example, hyperspectral data may be translated into melt pool temperature features or temperature
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views in real time. Yet raw video and point-cloud streams are massive, wireless links are unreliable, and safety demands that information be both timely and trustworthy. IONIAN tackles this bottleneck
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