TY - GEN
T1 - Gas Sensing Discrimination using a Cellular Nonlinear Network
AU - Al Chawa, Mohamad Moner
AU - Picos, Rodrigo
AU - Panes-Ruiz, Luis Antonio
AU - Riemenschneider, Leif
AU - Ibarlucea, Bergoi
AU - Cuniberti, Gianaurelio
AU - Tetzlaff, Ronald
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85122986716
U2 - 10.1109/CNNA49188.2021.9610754
DO - 10.1109/CNNA49188.2021.9610754
M3 - Conference contribution
AN - SCOPUS:85122986716
T3 - International Workshop on Cellular Nanoscale Networks and their Applications
BT - 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021
PB - IEEE Computer Society
T2 - 17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021
Y2 - 29 September 2021 through 1 October 2021
ER -