Data driven air pollution forecast for SO2 and PM10 atmospheric pollutants by Nisar Nur Nasreen

“…The project explores the use of machine learning approach to develop a model to predict the next day air quality based on the concentration of sulfur dioxide(SO2) and particulate matter(PM10) in the previous few days. …”
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PREDICTING AIR QUALITY INDEX BASED ON METEOROLOGICAL DATA: A COMPARISON OF REGRESSION ANALYSIS, ARTIFICIAL NEURAL NETWORKS AND DECISION TREE by Akram Jamal, Ramin Nabizadeh Nodehi

“…The aim of this study is forecasting next day air quality index (AQI) in Tehran, Iran. Materials and methods: Various approaches such as multiple linear regression (MLR) analysis, decision trees (DT), and multi-layer perceptron artificial neural networks (ANN), feature selection with regression analysis before artificial neural networks (MLR-ANN) and feature selection with decision trees before artificial neural networks (DT-ANN) were used for forecasting next day AQI based on meteorological data and one and two days ago AQI. …”
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