Skip to content

Deep learning models for Classifying data from E-NOSE signals

License

Notifications You must be signed in to change notification settings

adjs/SniffNets

 
 

Repository files navigation

SniffNets Implementation:

Deep learning models for classification of gases detected by sensor arrays of artificial nose

This repository contains the implementation of the models described in the article Deep learning models for classification of gases detected by sensor arrays of artificial nose published in the brazilian event ENIAC (_ANAIS DO ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL _) in 2019.

If you use the implementations in this repository please use the citation below:

@misc{sniffnets,
    title={SniffNets implementation: 
        Deep learning models for classification of gases detected by sensor arrays of artificial nose
    },
    author={Ismael Cesa da Silva Araujo and Juan Gamboa and Adenilton José da Silva}, 
    howpublished={\url{https://github.com/IsmaelCesar/SniffNets}},
    year={2019}
}

About

Deep learning models for Classifying data from E-NOSE signals

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 50.0%
  • Jupyter Notebook 50.0%