A knowledge discovery framework to predict the N2O emissions in the wastewater sector

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20682

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DC Field	Value	Language
dc.contributor.author	Vasilaki, V	-
dc.contributor.author	Conca, V	-
dc.contributor.author	Frison, N	-
dc.contributor.author	Eusebi, AL	-
dc.contributor.author	Fatone, F	-
dc.contributor.author	Katsou, E	-
dc.date.accessioned	2020-04-15T14:01:58Z	-
dc.date.available	2020-04	-
dc.date.available	2020-04-15T14:01:58Z	-
dc.date.issued	2020	-
dc.identifier	115799	-
dc.identifier.citation	Water Research, 2020, 115799	en_US
dc.identifier.issn	0043-1354	-
dc.identifier.uri	https://bura.brunel.ac.uk/handle/2438/20682	-
dc.description.sponsorship	Horizon 2020 research and innovation program SMART-Plant (grant agreement No 690323)	en_US
dc.language	en	-
dc.language.iso	en	en_US
dc.publisher	Elsevier BV	en_US
dc.subject	short-cut enhanced nutrients abatement - SCENA	en_US
dc.subject	long-term dissolved N2O and Energy consumption monitoring	en_US
dc.subject	knowledge discovery and data mining	en_US
dc.title	A knowledge discovery framework to predict the N2O emissions in the wastewater sector	en_US
dc.type	Article	en_US
dc.identifier.doi	https://doi.org/10.1016/j.watres.2020.115799	-
dc.relation.isPartOf	Water Research	-
pubs.publication-status	Published	-
Appears in Collections:	Dept of Civil and Environmental Engineering Research Papers

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