Machine learning for air quality prediction and data analysis Review on recent advancements challenges and outlooks

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dc.article.end-page18en
dc.article.start-page1en
dc.citation.doi10.1016/J.SCITOTENV.2025.180593en
dc.contributor.authorManal Karmoudeen
dc.contributor.authorBrenton Munhungewarwaen
dc.contributor.authorIsaiah Chirairaen
dc.contributor.authorRyan McKenzieen
dc.contributor.authorJude Kongen
dc.contributor.authorBevan Smithen
dc.contributor.authorG Ayanaen
dc.contributor.authorNkosiphendule Njaraen
dc.contributor.authorThuso Mathahaen
dc.contributor.authorMukesh Kumaren
dc.contributor.authorBruce Melladoen
dc.date.accessioned2025-11-06T10:23:38Z
dc.facultyFACULTY OF ENGINEERING & THE BUILT ENVIRONMENTen
dc.identifier.citationWOSen
dc.identifier.issn0048-9697en
dc.identifier.urihttps://hdl.handle.net/10539/47423
dc.journal.titleMachine learning for air quality prediction and data analysis Review on recent advancements challenges and outlooksen
dc.journal.volume1002en
dc.school3.06en
dc.titleMachine learning for air quality prediction and data analysis Review on recent advancements challenges and outlooksen
dc.typeJournal Articleen

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