Detection and classification of sensor anomalies for simulating urban traffic scenarios
Author:
Funder
Connecting Europe Facility
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-021-03445-7.pdf
Reference34 articles.
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3. Görnitz, N., Kloft, M., Rieck, K., Brefeld, U.: Toward supervised anomaly detection. J. Artif. Intell. Res. 45, (2012). https://doi.org/10.1613/jair.3623
4. Ramchandran, A., Sangaiah, A.K.: Chapter 11 - unsupervised anomaly detection for high dimensional data–an exploratory analysis. In: Sangaiah, A.K., Sheng, M., Zhang, Z. (eds.) Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications. Intelligent Data-Centric Systems, pp. 233–251. Academic Press (2018). https://doi.org/10.1016/B978-0-12-813314-9.00011-6
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