Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods
Machine learning methods enable the electronic nose (E-Nose) for precise odor identification with both qualitative and quantitative analysis. Advanced machine learning methods are crucial for the E-Nose to gain high performance and strengthen its capability in many applications, including robotics,...
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Main Authors: | Zhenyi Ye, Yuan Liu, Qiliang Li |
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Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
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Online Access: | https://doaj.org/article/521eaab819374fd09d65dc2e63ca3a9a |
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