CBDAE
Repository for Contrastive Blind Denoising Autoencoder for Real Time Denoising of Industrial IoT Sensor Data
This is a data-driven technique for data cleaning to be used in control applications
- Denoising results in synthetic data
![My Image](https://github.com/salangarica/CBDAE/raw/main/Images/BDAE_tanks_results2.png)
- Denoising results in real industrial data
![My Image](https://github.com/salangarica/CBDAE/raw/main/Images/Output_Solids_Concentration_denoising.png)
![My Image](https://github.com/salangarica/CBDAE/raw/main/Images/Bed_reconstruction.png)
- Smooth latent space produced by the NCE regularization
![My Image](https://github.com/salangarica/CBDAE/raw/main/Images/deonising_latent_spaces_thickener.jpg)
![My Image](https://github.com/salangarica/CBDAE/raw/main/Images/deonising_latent_spaces.jpg)