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.
Involved external institutions
Germany (DE)
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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