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Autonomous Model Lifecycle Management for Digital Twin-Based Manufacturing Control

Zhengyang et al.
arXiv (All) · Papers
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machine-learning
Manufacturing AI systems must autonomously adapt to continuous distributional shift from raw-material variability, ambient changes, and equipment aging, under strict safeguard and operator-trust requirements where model failures risk physical damage. This paper presents a closed-loop Cyber-Physical
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