A CWT plus Siamese VGG-16 pipeline separates synthetically induced time-shift and amplitude-shift anomalies from normal semiconductor tool traces with reported 99-100% accuracy.
Designing an artificial neural network for forecasting tourism time series
1 Pith paper cite this work, alongside 288 external citations. Polarity classification is still indexing.
1
Pith paper citing it
288
external citations · OpenAlex
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series
A CWT plus Siamese VGG-16 pipeline separates synthetically induced time-shift and amplitude-shift anomalies from normal semiconductor tool traces with reported 99-100% accuracy.