Calibration model of a low-cost air quality sensor using an adaptive neuro-fuzzy inference system

Calibration model of a low-cost air quality sensor using an adaptive neuro-fuzzy inference system

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...

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Bibliographic Details
Main Authors: Ezani, Nur Eliani, alhasa, kemal maulana, Mohd Nadzir, Mohd Shahrul, Latif, Mohd Talib, Olalekan, Popoola, Yusup, Yusri, Faruque, Mohammad Rashed Iqbal, Ahamad, Fatimah, Abd. Hamid, Haris Hafizal, Aiyub, Kadaruddin, Md Ali, Sawal Hamid, Khan, Md Firoz, Abu Samah, Azizan, Yusuff, Imran, Othman, Murnira, Tengku Hassim, Tengku Mohd Farid
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2018
Online Access:http://psasir.upm.edu.my/id/eprint/73321/
http://psasir.upm.edu.my/id/eprint/73321/1/SENSOR.pdf

Internet

http://psasir.upm.edu.my/id/eprint/73321/
http://psasir.upm.edu.my/id/eprint/73321/1/SENSOR.pdf

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