Fibre optic sensor based multi-gas detection using optimized convolutional neural network-Reference-Cited by-同舟云学术

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Fibre optic sensor based multi-gas detection using optimized convolutional neural network

Published:2022-03-04 Issue:7 Volume:69 Page:403-417
ISSN:0950-0340
Container-title:Journal of Modern Optics
language:en
Short-container-title:Journal of Modern Optics

Author:

Ganesh Babu R.¹^ORCID,Chellaswamy C.¹^ORCID,Geetha T. S.²^ORCID,Ramesh R.³

Affiliation:

1. Department of Electronics and Communication Engineering, SRM TRP Engineering College, Tiruchirappalli, India

2. Department of Electronics and Communication Engineering, Sriram Engineering College, Chennai, India

3. Department of Electronics and Communication Engineering, Global Institute of Engineering and Technology, Melvisharam, India

Publisher

Informa UK Limited

Subject

Atomic and Molecular Physics, and Optics

Link

https://www.tandfonline.com/doi/pdf/10.1080/09500340.2022.2041753

Reference33 articles.

1. Pawlat J, Li X, Sugiyama T, et al. Photonic bandgap fibre based gas sensing: current status and future possibilities, in fiber optic sensors. New York (NY): Springer; 2017. p. 167–183

2. Optofluidic sensor using two-dimensional photonic crystal waveguides

3. A Novel Design and Analysis of High-Sensitivity Biosensor Based on Nano-Cavity for Detection of Blood Component, Diabetes, Cancer and Glucose Concentration

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1. Optimized convolutional neural network-based temperature and refractive index fiber optic sensor;Journal of Optics;2024-05-15

2. 6-phase DFIG for wind energy conversion system: A hybrid approach;Sustainable Energy Technologies and Assessments;2022-10

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