TiO<sub>2</sub> Thick film Gas sensor for Detection H<sub>2</sub>S Gas Using ANN and Machine Learning Technique-Reference-Cited by-同舟云学术

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TiO₂ Thick film Gas sensor for Detection H₂S Gas Using ANN and Machine Learning Technique

Published:2023-01-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE)
language:
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Author:

Gupta Amit¹,Dargar Shashi Kant²,Dargar Abha²

Affiliation:

1. Malla Reddy University,School of Engineering,Department of Cyber Security,Telangana,India

2. Kalasalingam Academy of Research Education,Department of ECE,Tamil Nādu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10084914/10084930/10085220.pdf?arnumber=10085220

Reference19 articles.

1. Electronic noses application to food analysis using metal oxide sensor: A review;zohora;International Journal of Soft Computing and Engineering,2013

2. Synthesis and H2S sensing properties of CuO- SnO2 core/ shell PN- junction nanorods;xue;The Journal of Physical Chemistry,2008

3. A Radial Basis Function Neural Network Classifier for the Discrimination of Individual Odor Using Responses of Thick-Film Tin-Oxide Sensors

4. Pattern classification using neural networks

5. Two-Dimensional Materials for Sensing: Graphene and Beyond

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements and Prospects of Electronic Nose in Various Applications: A Comprehensive Review;Applied Sciences;2024-05-24

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