The dominant narrative about AI reliability is simple: models hallucinate. Therefore, for companies to get the most utility ...
Replaced the XSL SSP models with those embedded with the pPXF distribution in .npz format. These templates are automatically downloaded by SPAN the first time they are called in the "Stars and gas ...
AI agents make decisions you can’t explain. AgentXRay reveals how black-box AI workflows can be reconstructed—and why trust is at risk.
An MDP-Driven Learning Function Selection Strategy for Kriging-Based Structural Reliability Analysis
Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...
Distribution shows high variability across feeders, with mean SAIDI of 378 minutes and median of 58 minutes, indicating significant right-skew from poor performers. Gap analysis vs 25th percentile ...
Abstract: For traditional surrogate model-based methods, the distribution parameters of random variables will change with the enrichment of the data, ultimately leading to the reconstruction of ...
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