Fuzzy Process Capability Analysis represents an advanced statistical framework that extends traditional process capability indices (PCIs) by incorporating fuzzy set theory. This approach allows ...
We analyzed 4,427 patients with MDS divided into training and validation cohorts. Deep learning methods were applied to integrate and impute clinical/genomic features. Clustering was performed by ...
Artificial intelligence dominates today’s business agenda. From generative co-pilots to autonomous agents, organizations feel pressure to deliver visible results with AI. Yet despite billions in ...
AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...
The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an ...
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