Name
Abstract | ||
|---|---|---|
This article proposes a lightweight network called multiscale convolutional neural network with attention (MCNA), which combines a multiscale deep convolutional network with a self-attention mechanism. MCNA identifies ambient gases through signals of semiconductor gas sensor arrays, despite poor selectivity and drift problems. Notably, MCNA extracts temporal features of each signal and relevance a... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIM.2021.3135503 | IEEE Transactions on Instrumentation and Measurement |
Keywords | DocType | Volume |
Convolution,Gas detectors,Feature extraction,Sensor arrays,Machine learning,Transformers,Temperature sensors | Journal | 71 |
ISSN | Citations | PageRank |
0018-9456 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianbin Pan | 1 | 0 | 0.34 |
| Aijun Yang | 2 | 0 | 3.38 |
| Dawei Wang | 3 | 0 | 0.34 |
| Jifeng Chu | 4 | 0 | 0.34 |
| Fangfei Lei | 5 | 0 | 0.34 |
| Xiaohua Wang | 6 | 10 | 10.40 |
| Mingzhe Rong | 7 | 0 | 0.34 |