Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System

• Main Authors: Alhasa, Kemal, Mohd Nadzir, Mohd, Olalekan, Popoola, Latif, Mohd, Yusup, Yusri, Iqbal Faruque, Mohammad, Ahamad, Fatimah, Abd Hamid, Haris, Aiyub, Kadaruddin, Md Ali, Sawal, Khan, Md, Samah, Azizan Abu, Yusuff, Imran, Othman, Murnira, Tengku Hassim, Tengku, Ezani, Nor
• Format: Article
• Published: MDPI 2018
• Subjects: Q Science (General); QC Physics; QD Chemistry; T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/22569/; https://doi.org/10.3390/s18124380

Conventional air quality monitoring systems, such as gas analysers, are commonly used in many developed and developing countries to monitor air quality. However, these techniques have high costs associated with both installation and maintenance. One possible solution to complement these techniques i...