Gas Sensing Discrimination using a Cellular Nonlinear Network

Publikation: Beitrag in FachzeitschriftKonferenzartikelBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
FachzeitschriftInternational Workshop on Cellular Nanoscale Networks and their Applications
PublikationsstatusVeröffentlicht - 2021
Peer-Review-StatusJa

Konferenz

Titel17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021
Dauer29 September - 1 Oktober 2021
StadtCatania
LandItalien