- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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PR-FCNN: a data-driven hybrid approach for predicting PM2.5 concentration ; volume:4 ; number:1 ; day:3 ; month:11 ; year:2024 ; pages:1-22 ; date:12.2024
Discover artificial intelligence ; 4, Heft 1 (3.11.2024), 1-22, 12.2024
- Creator
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Inam, Syed Azeem
Khan, Abdullah Ayub
Mazhar, Tehseen
Ahmed, Noor
Shahzad, Tariq
Khan, Muhammad Amir
Saeed, Mamoon M.
Hamam, Habib
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s44163-024-00184-7
- URN
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urn:nbn:de:101:1-2501212112271.102546014283
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:39 AM CEST
Data provider
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Associated
- Inam, Syed Azeem
- Khan, Abdullah Ayub
- Mazhar, Tehseen
- Ahmed, Noor
- Shahzad, Tariq
- Khan, Muhammad Amir
- Saeed, Mamoon M.
- Hamam, Habib
- SpringerLink (Online service)
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Author Correction: Study of summer microclimate and PM2.5 concentration in campus plant communities
An improved deep learning model for predicting daily PM2.5 concentration
Estimation of PM2.5 Mass Concentration from Visibility
PM2.5 concentration prediction based on EEMD-ALSTM
Predicting PR Comments
Study of summer microclimate and PM2.5 concentration in campus plant communities
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