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

Megha Hegde, Jean-Christophe Nebel, Farzana Rahman

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

5 Downloads (Pure)

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

1 Paper

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

File

Cite this

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).

@inproceedings{615a4b350f6d4de69fde9788fd748cb4,

title = "Sustainable AI-based prediction of air pollution levels in London",

keywords = "Computer science and informatics",

author = "Megha Hegde and Jean-Christophe Nebel and Farzana Rahman",

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",

year = "2024",

month = apr,

doi = "10.11159/iceptp24.151",

language = "English",

series = "Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024)",

number = "151",

booktitle = "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",

}

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

TY - GEN

T1 - Sustainable AI-based prediction of air pollution levels in London

AU - Hegde, Megha

AU - Nebel, Jean-Christophe

AU - Rahman, Farzana

N1 - 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

PY - 2024/4

Y1 - 2024/4

KW - Computer science and informatics

U2 - 10.11159/iceptp24.151

DO - 10.11159/iceptp24.151

M3 - Conference contribution

T3 - Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024)

BT - 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

ER -

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