Gas Sensing Discrimination using a Cellular Nonlinear Network
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
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 language | English |
---|---|
Title of host publication | 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 978-1-6654-3948-0 |
ISBN (Print) | 978-1-6654-3949-7 |
Publication status | Published - 2021 |
Peer-reviewed | Yes |
Publication series
Series | IEEE International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) |
---|---|
ISSN | 2165-0160 |
Conference
Title | 17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021 |
---|---|
Duration | 29 September - 1 October 2021 |
City | Catania |
Country | Italy |
External IDs
ORCID | /0000-0001-7436-0103/work/142240392 |
---|---|
ORCID | /0000-0002-3007-8840/work/142247151 |
ORCID | /0000-0002-9899-1409/work/142249234 |