Gas Sensing Discrimination using a Cellular Nonlinear Network
Research output: Contribution to journal › Conference article › 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 |
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| Journal | International Workshop on Cellular Nanoscale Networks and their Applications |
| Publication status | Published - 2021 |
| Peer-reviewed | Yes |
Conference
| Title | 17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021 |
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| Duration | 29 September - 1 October 2021 |
| City | Catania |
| Country | Italy |