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    Potential Assessment of Neural Network and Decision Tree Algorithms for Forecasting Ambient PM2.5 and CO Concentrations: Case Study 

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2016:;Volume ( 020 ):;issue: 004
    Author(s): Chandrra Sekar; B. R. Gurjar; C. S. P. Ojha; Manish Kumar Goyal
    Publisher: American Society of Civil Engineers
    Abstract: Air pollution in megacities have caught attention of both researchers and policymakers because of increasing emissions, poor air quality, and potential adverse health impacts on densely inhabited populations. Oxides of ...
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    Potential Assessment of Neural Network and Decision Tree Algorithms for Forecasting Ambient PM2.5 and CO Concentrations: Case Study 

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2016:;Volume ( 020 ):;issue: 004
    Author(s): Chandrra Sekar; B. R. Gurjar; C. S. P. Ojha; Manish Kumar Goyal
    Publisher: American Society of Civil Engineers
    Abstract: Air pollution in megacities have caught attention of both researchers and policymakers because of increasing emissions, poor air quality, and potential adverse health impacts on densely inhabited populations. Oxides of ...
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    Modeling and Prediction of Hourly Ambient Ozone (O3) and Oxides of Nitrogen (NOx) Concentrations Using Artificial Neural Network and Decision Tree Algorithms for an Urban Intersection in India 

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2016:;Volume ( 020 ):;issue: 004
    Author(s): Chandrra Sekar; C. S. P. Ojha; B. R. Gurjar; Manish Kumar Goyal
    Publisher: American Society of Civil Engineers
    Abstract: The present study attempts to predict hourly ozone (
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