Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data

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. In Hisao Ishibuchi, Chee-Keong Kwoh 0001, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett, editors, IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022. pages 743-749, IEEE, 2022. [doi]

Abstract

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