Assessment and Calibration of a Low-Cost PM<sub>2.5</sub> Sensor Using Machine Learning (HybridLSTM Neural Network): Feasibility Study to Build an Air Quality Monitoring System
Commercially available low-cost air quality sensors have low accuracy. The improved accuracy of low-cost PM<sub>2.5</sub> sensors allows the use of low-cost sensor systems to reasonably investigate PM<sub>2.5</sub> emissions from industrial activities or to accurately estimat...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
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Series: | Atmosphere |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4433/12/10/1306 |