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...

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Bibliographic Details
Main Authors: Donggeun Park, Geon-Woo Yoo, Seong-Ho Park, Jong-Hyeon Lee
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/12/10/1306