/ts2imgClassification

Primary LanguagePython

ts2imgClassification

Code samples and datasets that are related to time series imaging for wireless anomaly detection

Conventional work flow

  1. Install python dependencies
  2. Open TS_imaging.py script and choose the desired transformation and model
  3. Save the script and run the experiment

Citation

If you are using our datasets or scripts in your research, citation of any of the following paper would be greatly appreciated.

@article{bertalanivc2022resource, title={Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies}, author={Bertalani{\v{c}}, Bla{\v{z}} and Me{\v{z}}a, Marko and Fortuna, Carolina}, journal={IEEE Transactions on Neural Networks and Learning Systems}, year={2022}, publisher={IEEE} }

Acknowledgement

This work was supported by the Slovenian Research Agency under Grant P2-0016