Abstract We propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques. In particular. we utilized autoencoder-based deep learning models for unsupervised learning using only normal training vibration data. Datasets were generated from South Korean high-speed train data. https://cosmeticssquadets.shop/product-category/baby-teethers/
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