Gas Sensing Discrimination using a Cellular Nonlinear Network

Al Chawa MM, Picos R, Panes-Ruiz LA, Riemenschneider L, Ibarlucea B, Cuniberti G, Tetzlaff R (2021)

Publication Type: Conference contribution

Publication year: 2021

Publisher: IEEE Computer Society

Book Volume: 2021-September

Conference Proceedings Title: International Workshop on Cellular Nanoscale Networks and their Applications

Event location: Catania, ITA

ISBN: 9781665439480

DOI: 10.1109/CNNA49188.2021.9610754

Abstract

In this work, we developed a signal processing Cellular Nonlinear Network (CNN) for the detection and classification of real sensor data obtained from a memristive gas sensors matrix. Applying a gas sensor CNN we can discriminate between hazardous gases such as Ammonia (NH3) and Hydrogen Sulfide (H2S) and determine their concentration levels.

Authors with CRIS profile

Giancarlo Cuniberti

Involved external institutions

Technische Universität Dresden DE Germany (DE) Universitat de les Illes Balears (IUB) ES Spain (ES)

How to cite

APA:

Al Chawa, M.M., Picos, R., Panes-Ruiz, L.A., Riemenschneider, L., Ibarlucea, B., Cuniberti, G., & Tetzlaff, R. (2021). Gas Sensing Discrimination using a Cellular Nonlinear Network. In International Workshop on Cellular Nanoscale Networks and their Applications. Catania, ITA: IEEE Computer Society.

MLA:

Al Chawa, Mohamad Moner, et al. "Gas Sensing Discrimination using a Cellular Nonlinear Network." Proceedings of the 17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021, Catania, ITA IEEE Computer Society, 2021.

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