Pollutant recognition based on supervised machine learning for Indoor Air Quality monitoring systems

• Main Authors: Saad, S. M., Andrew, A. M., Shakaff, A. Y. M., Dzahir, M. A. M., Hussein, M., Mohamad, M., Ahmad, Z. A.
• Format: Article
• Published: MDPI AG 2017
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/75343/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027457563&doi=10.3390%2fapp7080823&partnerID=40&md5=4203a6c34baafd87ada4b82847fe00a0

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...