Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India.

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Title: Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India.
Authors: A K, Nandan1 (AUTHOR), Mathew, Aneesh1 (AUTHOR) aneesh52006@gmail.com
Source: Stochastic Environmental Research & Risk Assessment. Oct2025, Vol. 39 Issue 10, p4575-4598. 24p.
Database: Environment Complete
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PubType: Academic Journal
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  Data: Insights into airborne particulate matter: artificial intelligence-driven PM<subscript>2.5</subscript> modelling in Hyderabad district, India.
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  Data: <searchLink fieldCode="JN" term="%22Stochastic+Environmental+Research+%26+Risk+Assessment%22">Stochastic Environmental Research & Risk Assessment</searchLink>. Oct2025, Vol. 39 Issue 10, p4575-4598. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=188799496
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        Value: 10.1007/s00477-024-02728-w
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 4575
    Titles:
      – TitleFull: Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India.
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            NameFull: A K, Nandan
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            – D: 01
              M: 10
              Text: Oct2025
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              Y: 2025
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            – TitleFull: Stochastic Environmental Research & Risk Assessment
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