Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam

Clean air is critical component for health and survival of human and wildlife, as atmospheric pollution is associated with a number of significant diseases including cancer. However, due to rapid industrialization and population growth, activities such as transportation, household, agricultural, and...

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Bibliographic Details
Main Authors:	Ravindiran G., Hayder G., Kanagarathinam K., Alagumalai A., Sonne C.
Other Authors:	57226345669
Format:	Article
Published:	Elsevier Ltd 2024
Subjects:	Air quality index Climate action Gaseous pollutants Meteorological parameters Particulate matter Air Pollutants Air Pollution Cities Environmental Monitoring Humans Machine Learning Particulate Matter Andhra Pradesh India Visakhapatnam Air quality Climate models Errors Fog Forecasting Forestry Machine learning Mean square error Particles (particulate matter) Population statistics Air quality indices Air quality prediction Correlation coefficient Machine learning models Machine-learning air quality ambient air atmospheric pollution industrialization meteorology spatiotemporal analysis urban pollution air monitoring air pollution Article artificial neural network climate correlation coefficient data analysis death toll human learning algorithm machine learning mean absolute error mean squared error particulate matter root mean squared error air pollutant city environmental monitoring procedures Adaptive boosting
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Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam

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