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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Maen Takruri (10873368) (author)
مؤلفون آخرون:	Abubakar Abubakar (18278998) (author), Abdul-Halim Jallad (19521913) (author), Basel Altawil (19521916) (author), Prashanth R. Marpu (19521919) (author), Amine Bermak (1895947) (author)
منشور في:	2022
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Machine Learning-Based Estimation of PM<sub>2.5</sub> Concentration Using Ground Surface DoFP Polarimeters

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