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Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems
This study introduces a stochastic deep Koopman (SDK) framework to model the complex behavior of MMSs.
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center
In practice, however, it is observed that autoencoders can generalize beyond the normal class and achieve a small reconstruction error on some of the anomalous samples.
A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis
In the automotive industry, the full cycle of managing in-use vehicle quality issues can take weeks to investigate.
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup
Image classification with deep neural networks has seen a surge of technological breakthroughs with promising applications in areas such as face recognition, medical imaging, and autonomous driving.
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