Pollutant recognition based on supervised machine learning for Indoor Air Quality monitoring systems
Indoor air may be polluted by various types of pollutants which may come from cleaning products, construction activities, perfumes, cigarette smoke, water-damaged building materials and outdoor pollutants. Although these gases are usually safe for humans, they could be hazardous if their amount exce...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
MDPI AG
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/75343/ http://eprints.utm.my/75343/ |
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