Urban Benzene Pollution During the COVID-19 State of Emergency: Insights from an Interpretable Artificial Intelligence Approach to Multi-Scale Urban Environmental Data.

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Title: Urban Benzene Pollution During the COVID-19 State of Emergency: Insights from an Interpretable Artificial Intelligence Approach to Multi-Scale Urban Environmental Data.
Authors: Isibor, Gabriel Joseph1,2 (AUTHOR), Bezdan, Timea2,3 (AUTHOR), Jovanović, Gordana3,4 (AUTHOR), Radić, Nataša4,5 (AUTHOR), Stanišić, Svetlana3,5 (AUTHOR), Stanić, Nenad1,3 (AUTHOR), Stojić, Andreja2,3,4 (AUTHOR) andreja.stojic@ipb.ac.rs, Perišić, Mirjana3,4 (AUTHOR)
Source: Urban Science. Jun2026, Vol. 10 Issue 6, p298. 19p.
Database: Environment Complete
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  Data: Urban Benzene Pollution During the COVID-19 State of Emergency: Insights from an Interpretable Artificial Intelligence Approach to Multi-Scale Urban Environmental Data.
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  Data: <searchLink fieldCode="JN" term="%22Urban+Science%22">Urban Science</searchLink>. Jun2026, Vol. 10 Issue 6, p298. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194942736
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        Text: English
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              Text: Jun2026
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