@ Onsemi 2024

Published and presented at IRPS 2025! ⭐

https://ieeexplore.ieee.org/document/10983015

Short description: This project creates Python programs with principal component analysis and multivariate outlier detection models (One-Class SVM and Isolation Forest) that identify outliers correlated to latent failures, post reliability stress failures, or customer returns.