Impact of COVID-19 lockdown on air quality analyzed through machine learning techniques

After February 2020, the majority of the world’s governments decided to implement a lockdown in order to limit the spread of the deadly COVID-19 virus. This restriction improved air quality by reducing emissions of particular atmospheric pollutants from industrial and vehicular traffic. In this stud...

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Detalles Bibliográficos
Autores principales: Zukaib, Umer, Maray, Mohammed, Mustafa, Saad, Haq, Nuhman Ul, Khan, Atta ur Rehman, Rehman, Faisal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280446/
https://www.ncbi.nlm.nih.gov/pubmed/37346587
http://dx.doi.org/10.7717/peerj-cs.1270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280446/
https://www.ncbi.nlm.nih.gov/pubmed/37346587
http://dx.doi.org/10.7717/peerj-cs.1270

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