Drift Compensation on Massive Online Electronic-Nose Responses
Gas sensor drift is an important issue of electronic nose (E-nose) systems. This study follows this concern under the condition that requires an instant drift compensation with massive online E-nose responses. Recently, an active learning paradigm has been introduced to such condition. However, it d...
Main Authors: | Jianhua Cao, Tao Liu, Jianjun Chen, Tao Yang, Xiuxiu Zhu, Hongjin Wang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
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Series: | Chemosensors |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9040/9/4/78 |
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