Sustainable AI-based prediction of air pollution levels in London

Megha Hegde; Jean-Christophe Nebel; Farzana Rahman

doi:10.11159/iceptp24.151

Sustainable AI-based prediction of air pollution levels in London

Faculty General (ECE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Original language	English
Title of host publication	Published in: Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024). ISSN (print) 2371-5294 ISBN: 978-1-990800-35-1 Organising Body: Civil, Structural, and Environmental Engineering Congress Organising Body: Civil, Structural, and Environmental Engineering Congress
DOIs	https://doi.org/10.11159/iceptp24.151
Publication status	Published - Apr 2024

Publication series

Name	Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024)
Number	151

Bibliographical note

Note: Published in: Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024). ISSN (print) 2371-5294 ISBN: 978-1-990800-35-1

Organising Body: Civil, Structural, and Environmental Engineering Congress

Organising Body: Civil, Structural, and Environmental Engineering Congress

Keywords

Computer science and informatics

Access to Document

10.11159/iceptp24.151

Rahman-F-54964-AAMOther version, 267 KBLicence: Unspecified

https://doi.org/10.11159/iceptp24.151

Sustainable AI-based prediction of air pollution levels in London
Hegde, M., Nebel, J. C. & Rahman, F., Apr 2024.
Research output: Contribution to conference › Paper › peer-review

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Hegde, M., Nebel, J.-C., & Rahman, F. (2024). Sustainable AI-based prediction of air pollution levels in London. In Published in: Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024). ISSN (print) 2371-5294 ISBN: 978-1-990800-35-1 Organising Body: Civil, Structural, and Environmental Engineering Congress Organising Body: Civil, Structural, and Environmental Engineering Congress (Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024); No. 151). https://doi.org/10.11159/iceptp24.151

Hegde, Megha ; Nebel, Jean-Christophe ; Rahman, Farzana. / Sustainable AI-based prediction of air pollution levels in London. Published in: Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024). ISSN (print) 2371-5294 ISBN: 978-1-990800-35-1 Organising Body: Civil, Structural, and Environmental Engineering Congress Organising Body: Civil, Structural, and Environmental Engineering Congress. 2024. (Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024); 151).

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Hegde, M , Nebel, J-C & Rahman, F 2024, Sustainable AI-based prediction of air pollution levels in London. in Published in: Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024). ISSN (print) 2371-5294 ISBN: 978-1-990800-35-1 Organising Body: Civil, Structural, and Environmental Engineering Congress Organising Body: Civil, Structural, and Environmental Engineering Congress. Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024), no. 151. https://doi.org/10.11159/iceptp24.151

Sustainable AI-based prediction of air pollution levels in London. / Hegde, Megha ; Nebel, Jean-Christophe ; Rahman, Farzana.
Published in: Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024). ISSN (print) 2371-5294 ISBN: 978-1-990800-35-1 Organising Body: Civil, Structural, and Environmental Engineering Congress Organising Body: Civil, Structural, and Environmental Engineering Congress. 2024. (Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024); No. 151).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Hegde M , Nebel JC , Rahman F. Sustainable AI-based prediction of air pollution levels in London. In Published in: Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024). ISSN (print) 2371-5294 ISBN: 978-1-990800-35-1 Organising Body: Civil, Structural, and Environmental Engineering Congress Organising Body: Civil, Structural, and Environmental Engineering Congress. 2024. (Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024); 151). doi: 10.11159/iceptp24.151