Adaptive test selection via set cover and Thompson sampling bandits cuts test time 18-91% with zero escapes on 28k PCB boards, outperforming static reduction under real concept drift.
Embodied intelligence in manufacturing: leveraging large language models for autonomous industrial robotics.Journal of Intelligent Manufacturing, 36(2):1141–1157
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Quality-preserving Model for Electronics Production Quality Tests Reduction
Adaptive test selection via set cover and Thompson sampling bandits cuts test time 18-91% with zero escapes on 28k PCB boards, outperforming static reduction under real concept drift.