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Air quality index prediction via multi-task machine learning technique: spatial analysis for human c...

Air quality index prediction via multi-task machine learning technique: spatial analysis for human c...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2766900006

Air quality index prediction via multi-task machine learning technique: spatial analysis for human capital and intensive air quality monitoring stations

About this item

Full title

Air quality index prediction via multi-task machine learning technique: spatial analysis for human capital and intensive air quality monitoring stations

Publisher

Dordrecht: Springer Netherlands

Journal title

Air quality, atmosphere and health, 2023-01, Vol.16 (1), p.85-97

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

Air, an essential natural resource, has been compromised in terms of quality by economic activities. Air pollution has become a critical environmental issue in recent decades. Forecasts of air quality play an important role in warning people about and controlling air pollution. Considerable research has been devoted to predicting instances of poor...

Alternative Titles

Full title

Air quality index prediction via multi-task machine learning technique: spatial analysis for human capital and intensive air quality monitoring stations

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2766900006

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2766900006

Other Identifiers

ISSN

1873-9318

E-ISSN

1873-9326

DOI

10.1007/s11869-022-01255-3

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