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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

Demystifying Evidence-Theory-Based Novel Uncertainty Quantification: A “Cut-Merge” Approach for Mitigating Overconservative Reliability

Abstract: In recent years, the quantification of structural uncertainty using evidence theory has been widely adopted. However, there is a long-term difficult problem of overconservative reliability ...
IEEE

Probabilistic Injection-Based Reliability Evaluation for Correlated Input Vectors in Sequential Circuits

Abstract: As CMOS technology continues to scale, the associated reduction in device reliability margins has made accurate reliability evaluation a critical component of digital circuit design.