Hegde, Megha, Nebel, Jean-Christophe and Rahman, Farzana (2024) Sustainable AI-based prediction of air pollution levels in London. In: 9th International Conference on Environmental Pollution, Treatment and Protection; 14-16 April 2024, London, U.K.. (Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024), no. 151)

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Official URL:	https://doi.org/10.11159/iceptp24.151
Item Type:	Conference or Workshop Item (Paper)
Event Title:	9th International Conference on Environmental Pollution, Treatment and Protection
Organising Body:	Civil, Structural, and Environmental Engineering Congress
Additional Information:	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
Research Area:	Research Areas > Computer science and informatics Research Areas > Earth systems and environmental sciences
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
Series Name:	Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering (CSEE 2024)
Date Deposited:	23 May 2024 13:16
Last Modified:	24 May 2024 12:18
DOI:	https://doi.org/10.11159/iceptp24.151
URI:	https://eprints.kingston.ac.uk/id/eprint/54964

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