Implementing Machine Learning Algorithms to Predict Particulate Matter (PM<sub>2.5</sub>): A Case Study in the Paso del Norte Region

Implementing Machine Learning Algorithms to Predict Particulate Matter (PM<sub>2.5</sub>): A Case Study in the Paso del Norte Region

This work focuses on the prediction of an air pollutant called particulate matter (PM<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mrow><mn>2.5</mn></mrow&g...

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Bibliographic Details
Main Authors: Suhail Mahmud, Tasannum Binte Islam Ridi, Mohammad Sujan Miah, Farhana Sarower, Sanjida Elahee
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Atmosphere
Subjects:
ground PM
air quality
machine learning algorithms
Paso del Norte
classification
Online Access:https://www.mdpi.com/2073-4433/13/12/2100

Internet

https://www.mdpi.com/2073-4433/13/12/2100

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