Data-driven modelling of N2O production in wastewater processes using neural ordinary differential equations

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32672

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DC Field	Value	Language
dc.contributor.author	Huang, X	-
dc.contributor.author	Mousavi, A	-
dc.contributor.author	Kandris, K	-
dc.contributor.author	Katsou, E	-
dc.date.accessioned	2026-01-17T18:35:01Z	-
dc.date.available	2026-01-17T18:35:01Z	-
dc.date.issued	2026	-
dc.identifier	ORCiD: Alireza Mousavi https://orcid.org/0000-0003-0360-2712	-
dc.identifier.citation	Huang, X. et al. (2026) 'Data-driven modelling of N2O production in wastewater processes using neural ordinary differential equations', Water Science and Technology, 0 (accepted, in press)	en_US
dc.identifier.issn	0273-1223	-
dc.identifier.uri	https://bura.brunel.ac.uk/handle/2438/32672	-
dc.description	...	en_US
dc.description.abstract	...	en_US
dc.description.sponsorship	...	en_US
dc.format.extent	1 - 30	-
dc.format.medium	Print-Electronic	-
dc.language.iso	en_US	en_US
dc.publisher	Wiley on behalf of IWA Publishing	en_US
dc.subject	activated sludge	en_US
dc.subject	data-driven	en_US
dc.subject	modelling	en_US
dc.subject	neural ordinary differential equations	en_US
dc.subject	nitrous oxide	en_US
dc.title	Data-driven modelling of N2O production in wastewater processes using neural ordinary differential equations	en_US
dc.type	Article	en_US
dc.relation.isPartOf	Water Science and Technology	-
pubs.issue	0	-
pubs.publication-status	Accepted	-
pubs.volume	00	-
dc.contributor.orcid	Mousavi, Alireza [0000-0003-0360-2712]	-
Appears in Collections:	Dept of Mechanical and Aerospace Engineering Embargoed Research Papers

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