A Methodology of Condition Monitoring System Utilizing Supervised and Semi-Supervised Learning in Railway von Shim, Jaeseok, Koo, Jeongseo, Park, Yongwoon

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Anomaly Detection Method in Railway Using Signal Processing and Deep Learning von Shim, Jaeseok, Koo, Jeongseo, Park, Yongwoon, Kim, Jaehoon

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Application of Vibration Signal Processing Methods to Detect and Diagnose Wheel Flats in Railway Vehicles von Shim, JaeSeok, Kim, GeoYoung, Cho, ByungJin, Koo, JeongSeo

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Prediction of Theoretical Derailments Caused by Cross-Winds with Frequency von Kim, JunWoo, Song, InHo, Koo, JeongSeo

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A material selection method for a hybrid box-type bodyshell with cut-outs using an equivalent bodyshell model without cut-outs von Cho, Jeonggil, Koo, Jeongseo, Jung, Hyunseung

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