Gas Sensing Discrimination using a Cellular Nonlinear Network
Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Beigetragen › Begutachtung
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
Originalsprache | Englisch |
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Fachzeitschrift | International Workshop on Cellular Nanoscale Networks and their Applications |
Publikationsstatus | Veröffentlicht - 2021 |
Peer-Review-Status | Ja |
Konferenz
Titel | 17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021 |
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Dauer | 29 September - 1 Oktober 2021 |
Stadt | Catania |
Land | Italien |