Anomaly Detection in Semiconductor Manufacturing using Hybrid Autoencoder Models
Semiconductor fabrication processes generate highdimensional, multi-sensor telemetry streams that are critical for quality control but challenging to analyze in real time. Traditional anomaly detection methods rely on static thresholding or shallow statistical models, which struggle with non-linear sensor correlations,...