Gas Sensing Discrimination using a Cellular Nonlinear Network

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Contributors

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.

Details

Original languageEnglish
JournalInternational Workshop on Cellular Nanoscale Networks and their Applications
Publication statusPublished - 2021
Peer-reviewedYes

Conference

Title17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021
Duration29 September - 1 October 2021
CityCatania
CountryItaly