These codes address the problem of anomaly detection based solely on one-class classification. The approach converts high-dimensional vibration data into wavelet images, which are then analyzed using
Appendix I: Figures of synthetic anomalies introduced in the daily water stage time series of station 44200000; Appendix II: Excel spreadsheet with input time series for the validation of MADE (Multir
These codes address the problem of anomaly detection based solely on one-class classification. The approach converts high-dimensional vibration data into wavelet images, which are then analyzed using
Time Series for Anomaly Detection The file is a Matlab data file. It contains 3 time series, representing the packet rate of 3 different traffic traces, related to inbound traffic of the UNINA Network
