Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/32672| Title: | Data-driven modelling of N2O production in wastewater processes using neural ordinary differential equations |
| Authors: | Huang, X Mousavi, A Kandris, K Katsou, E |
| Keywords: | activated sludge;data-driven;modelling;neural ordinary differential equations;nitrous oxide |
| Issue Date: | 2026 |
| Publisher: | Wiley on behalf of IWA Publishing |
| 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) |
| Abstract: | ... |
| Description: | ... |
| URI: | https://bura.brunel.ac.uk/handle/2438/32672 |
| ISSN: | 0273-1223 |
| Other Identifiers: | ORCiD: Alireza Mousavi https://orcid.org/0000-0003-0360-2712 |
| Appears in Collections: | Dept of Mechanical and Aerospace Engineering Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until publication | 783.4 kB | Adobe PDF | View/Open |
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