FEDA: A Nonlinear Subspace Projection Approach for Electronic Nose Data Classification-Reference-Cited by-同舟云学术

FEDA: A Nonlinear Subspace Projection Approach for Electronic Nose Data Classification

Published:2023 Issue: Volume:72 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Chen Xi¹^ORCID,Yi Lin²^ORCID,Liu Ran³^ORCID

Affiliation:

1. School of Big Data and Software Engineering, Chongqing University, Chongqing, China

2. Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China

3. College of Computer Science, Chongqing University, Chongqing, China

Funder

Open Fund Project of the Key Laboratory of Chongqing University Cancer Hospital

Fundamental Research Funds for the Central Universities

Chongqing Foundation and Advanced Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/09963596.pdf?arnumber=9963596

Reference37 articles.

1. Anti-drift in E-nose: A subspace projection approach with drift reduction

2. Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose

3. A calibrant-free drift compensation method for gas sensor arrays

4. A Weighted Discriminative Extreme Learning Machine Design for Lung Cancer Detection by an Electronic Nose System

5. Drift Compensation for an Electronic Nose by Adaptive Subspace Learning

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