This projects consists of a deep learning model for multivariate time series classification. The model is a hybrid architecture based on DenseNet and Attention LSTM.
paper: Using DenseNet for IoT multivariate time series classification
link: https://ieeexplore.ieee.org/abstract/document/9219631
The datasets are downloaded from: https://github.com/titu1994/MLSTM-FCN/releases
This project is inspired and would not have been possible without the work done in:
- https://github.com/houshd/MLSTM-FCN
- https://github.com/seasonyc/densenet/blob/master/densenet.py
- https://github.com/hfawaz/dl-4-tsc
@inproceedings{azar2020using, title={Using DenseNet for IoT multivariate time series classification}, author={Azar, Joseph and Makhoul, Abdallah and Couturier, Rapha{"e}l}, booktitle={2020 IEEE Symposium on Computers and Communications (ISCC)}, pages={1--6}, year={2020}, organization={IEEE} }