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In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery ...

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Abstract: Concept drift, referring to the temporal evolution of data distributions, presents a significant challenge to the deployment of machine learning models in dynamic, real-world environments.

As a crucial and pervasive component in industrial processes, screws are integral to the assembly, maintenance, and recycling of products. In light of the advancements in automation technology, it has ...