1. University of Diyala Digital Repository | المستودع الرقمي لجامعة ديالى
  2. نتاجات باحتي الجامعة (سكوباس) University Publishing House Products (Scopus)
  3. نتاجات باحتي الجامعة (سكوباس) لعام 2024(Scopus)
Please use this identifier to cite or link to this item: http://148.72.244.84/xmlui/handle/xmlui/15919
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dc.contributor.authorعلي جاسم عبود, Abboud, Ali J.-
dc.date.accessioned2025-02-18T07:36:50Z-
dc.date.available2025-02-18T07:36:50Z-
dc.date.issued2024-
dc.identifier.citationhttps://orcid.org/0000-0002-9074-8674 View this author’s ORCID profileen_US
dc.identifier.other0000000404175115-
dc.identifier.urihttp://148.72.244.84/xmlui/handle/xmlui/15919-
dc.language.isoenen_US
dc.publisherجامعة ديالى / University Of Diyalaen_US
dc.subjectPredicting air qualityen_US
dc.titlePredicting air quality index and fine particulate matter levels in Bagdad city using advanced machine learning and deep learning techniquesen_US
dc.typeArticleen_US
Appears in Collections:نتاجات باحتي الجامعة (سكوباس) لعام 2024(Scopus)

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