A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition
The sensitivity and selectivity profiles of gas sensors are always changed by sensor drifting, sensor aging, and the surroundings (e.g., temperature and humidity changes), which lead to a serious decline in gas recognition accuracy or even invalidation. To address this issue, the practical solution...
| Main Authors: | , , , , , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
MDPI AG
2023-02-01
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| 叢編: | Sensors |
| 主題: | |
| 在線閱讀: | https://www.mdpi.com/1424-8220/23/5/2433 |