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: Kemal Maulana Alhasa, Mohd Shahrul Mohd Nadzir, Popoola Olalekan, Mohd Talib Latif, Yusri Yusup, Mohammad Rashed Iqbal Faruque, Fatimah Ahamad, Haris Hafizal Abd. Hamid, Kadaruddin Aiyub, Sawal Hamid Md Ali, Md Firoz Khan, Azizan Abu Samah, Imran Yusuff, Murnira Othman, Tengku Mohd Farid Tengku Hassim, Nor Eliani Ezani
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
air quality monitoring
low-cost sensor
quality control
machine learning
Online Access:https://www.mdpi.com/1424-8220/18/12/4380

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https://www.mdpi.com/1424-8220/18/12/4380

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