Neighborhood Preserving and Weighted Subspace Learning Method for Drift Compensation in Gas Sensor-Reference-Cited by-同舟云学术

Neighborhood Preserving and Weighted Subspace Learning Method for Drift Compensation in Gas Sensor

Published:2021 Issue: Volume: Page:1-12
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Yi Zhengkun¹^ORCID,Shang Wanfeng²^ORCID,Xu Tiantian²^ORCID,Wu Xinyu³^ORCID

Affiliation:

1. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Shenzhen 518055, China, and also with the Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

2. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Shenzhen 518055, China.

3. Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China, and also with the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518055, China (e-mail: xy.wu@siat.ac.cn)

Funder

National Natural Science Foundation of China

NSFC--Shenzhen Robotics Research Center Project

National Natural Science Foundation of Guangdong Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/6376248/09405356.pdf?arnumber=9405356

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