A novel principal component-based virtual sensor approach for efficient classification of gases/odors Cover

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A novel principal component-based virtual sensor approach for efficient classification of gases/odors

Journal of Electrical Engineering

Volume 73 (2022): Issue 2 (April 2022)

By: Shiv Nath Chaudhri, Navin Singh Rajput and Ashutosh Mishra

Open Access

|May 2022

Authors

Shiv Nath Chaudhri

Department of Electronics Engineering, Indian Institute of Technology (BHU), Varanasi, India

Navin Singh Rajput

nsrajput.ece@iitbhu.ac.in

Department of Electronics Engineering, Indian Institute of Technology (BHU), Varanasi, India

Ashutosh Mishra

School of Integrated Technology, Yonsei University

DOI: https://doi.org/10.2478/jee-2022-0014 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632

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Language: English

Page range: 108 - 115

Submitted on: Mar 1, 2022

Published on: May 14, 2022

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 6 issues per year

Keywords:

electronic nose (e-nose),

gas sensor array,

convolutional neural network (CNN),

principal component analysis (PCA),

mirror mosaicking

Related subjects:

Introductions and overviews,

Engineering, other

© 2022 Shiv Nath Chaudhri, Navin Singh Rajput, Ashutosh Mishra, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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