Gas Sensing Discrimination using a Cellular Nonlinear Network

  • Mohamad Moner Al Chawa
  • , Rodrigo Picos
  • , Luis Antonio Panes-Ruiz
  • , Leif Riemenschneider
  • , Bergoi Ibarlucea
  • , Gianaurelio Cuniberti
  • , Ronald Tetzlaff

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2021 17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021
PublisherIEEE Computer Society
ISBN (Electronic)9781665439480
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021 - Catania, Italy
Duration: 29 Sept 20211 Oct 2021

Publication series

NameInternational Workshop on Cellular Nanoscale Networks and their Applications
Volume2021-September
ISSN (Print)2165-0160
ISSN (Electronic)2165-0179

Conference

Conference17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021
Country/TerritoryItaly
CityCatania
Period29/09/211/10/21

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