Hazardous gas detection using gas sensors arrays and fuzzy-based classification

This paper presents hazardous gas detection using gas sensors arrays and fuzzy-based classification. This research is an automation of hazardous gas detection using electronic nose. Gases surround us could either hazard or benefit our health. Gas detection is an important issue, as humans should not...

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Main Authors: Mohamed R.R., Mohamed M.A., Hashim W., Rahim A., Fuad M.S.
Other Authors: 56996859800
Format: Article
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2023
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author Mohamed R.R.
Mohamed M.A.
Hashim W.
Rahim A.
Fuad M.S.
author2 56996859800
author_facet 56996859800
Mohamed R.R.
Mohamed M.A.
Hashim W.
Rahim A.
Fuad M.S.
author_sort Mohamed R.R.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description This paper presents hazardous gas detection using gas sensors arrays and fuzzy-based classification. This research is an automation of hazardous gas detection using electronic nose. Gases surround us could either hazard or benefit our health. Gas detection is an important issue, as humans should not breathe in hazardous gases in order to maintain their health. Hence, there must be an indicator to show the hazardous level of certain gases so that people can avoid and minimize the impact on their health. In this paper, hazardous gas detection is implemented by using gas sensor arrays and fuzzy-based classification. A classification for the electronic nose (e-nose) is developed in order to classify gases and determine the level of hazard of gases. The results found that e-nose system is able to differentiate hazardous level of chosen gases which are LP gas and CO gas. � BEIESP.
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publisher Blue Eyes Intelligence Engineering and Sciences Publication
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spelling my.uniten.dspace-245302023-05-29T15:24:15Z Hazardous gas detection using gas sensors arrays and fuzzy-based classification Mohamed R.R. Mohamed M.A. Hashim W. Rahim A. Fuad M.S. 56996859800 57194596063 11440260100 56789641600 57513127900 This paper presents hazardous gas detection using gas sensors arrays and fuzzy-based classification. This research is an automation of hazardous gas detection using electronic nose. Gases surround us could either hazard or benefit our health. Gas detection is an important issue, as humans should not breathe in hazardous gases in order to maintain their health. Hence, there must be an indicator to show the hazardous level of certain gases so that people can avoid and minimize the impact on their health. In this paper, hazardous gas detection is implemented by using gas sensor arrays and fuzzy-based classification. A classification for the electronic nose (e-nose) is developed in order to classify gases and determine the level of hazard of gases. The results found that e-nose system is able to differentiate hazardous level of chosen gases which are LP gas and CO gas. � BEIESP. Final 2023-05-29T07:24:15Z 2023-05-29T07:24:15Z 2019 Article 10.35940/ijrte.B1194.0882S819 2-s2.0-85073441040 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073441040&doi=10.35940%2fijrte.B1194.0882S819&partnerID=40&md5=d107a3feda731321cc7c0abf6b796db6 https://irepository.uniten.edu.my/handle/123456789/24530 8 2 Special Issue 8 1883 1888 All Open Access, Bronze Blue Eyes Intelligence Engineering and Sciences Publication Scopus
spellingShingle Mohamed R.R.
Mohamed M.A.
Hashim W.
Rahim A.
Fuad M.S.
Hazardous gas detection using gas sensors arrays and fuzzy-based classification
title Hazardous gas detection using gas sensors arrays and fuzzy-based classification
title_full Hazardous gas detection using gas sensors arrays and fuzzy-based classification
title_fullStr Hazardous gas detection using gas sensors arrays and fuzzy-based classification
title_full_unstemmed Hazardous gas detection using gas sensors arrays and fuzzy-based classification
title_short Hazardous gas detection using gas sensors arrays and fuzzy-based classification
title_sort hazardous gas detection using gas sensors arrays and fuzzy-based classification
url_provider http://dspace.uniten.edu.my/