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PatchFusion recovers more bugs than any single source, outperforming traditional selection methods with a deterministic fusion of evidence that cuts costs dramatically.
Achieving 13.8x compression on LLMs while improving accuracy by 3.70 percentage points could redefine on-device inference for IIoT applications.
Achieving 98.49% diagnostic accuracy with a 12.6-fold reduction in computational cost, this framework revolutionizes real-time bearing fault diagnosis.
