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

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

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),
zero-padding,
mirror mosaicking
Related subjects:
Engineering,
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.

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