Machine Learning-Based Estimation of PM2.5 Concentration Using Ground Surface DoFP Polarimeters

In this paper, we propose a machine learning system for the estimation of atmospheric particulate matter (PM) concentration, specifically, particles with a maximum diameter of 2.5μm . These very fine particles, also known as PM2.5 particles, are ve...

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Bibliographic Details
Main Author:	Maen Takruri (10873368) (author)
Other Authors:	Abubakar Abubakar (18278998) (author), Abdul-Halim Jallad (19521913) (author), Basel Altawil (19521916) (author), Prashanth R. Marpu (19521919) (author), Amine Bermak (1895947) (author)
Published:	2022
Subjects:	Engineering Environmental engineering Information and computing sciences Machine learning Division of focal plane environmental monitoring machine learning polarization image Aerosols Wavelength measurement Atmospheric measurements Particle measurements Optical variables measurement Polarimetry
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Machine Learning-Based Estimation of PM<sub>2.5</sub> Concentration Using Ground Surface DoFP Polarimeters

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