Smart Electronic Nose: An Empirical Evaluation of New Multi-channel Gas Sensors for Smell Classification-Reference-Cited by-同舟云学术

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Smart Electronic Nose: An Empirical Evaluation of New Multi-channel Gas Sensors for Smell Classification

Published:2023 Issue: Volume: Page:73-84
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Lozano Murciego Álvaro^ORCID,Jiménez-Bravo Diego M.^ORCID,Villarrubia González Gabriel^ORCID,Sales Mendes André^ORCID,De Paz Juan F.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-38344-1_8

Reference22 articles.

1. Banana Pi BPI-M2 ZERO - Banana Pi Wiki. https://wiki.banana-pi.org/Banana_Pi_BPI-M2_ZERO

2. Grove - Gas Sensor V2(Multichannel)—Seeed Studio Wiki. https://wiki.seeedstudio.com/Grove-Multichannel-Gas-Sensor-V2/

3. Home - PyCaret. https://pycaret.org/

4. Imbalanced-learn documentation—Version 0.10.1. https://imbalanced-learn.org/stable/

5. Smart Nanotubes - Smell Inspector – Developer Kit - The electronic nose. https://smart-nanotubes.com/produkt/smell-inspector-developer-kit/

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