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"Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in ..."
Anthony Geglio et al. (2022)
- Anthony Geglio, Eisa Hedayati, Mark Tascillo, Dyche Anderson, Jonathan Barker, Timothy C. Havens:
Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data. SSCI 2022: 743-749
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