Machine learning for modeling N

Wastewater Nitrous Oxide / analysis Bioreactors Water Purification / methods Machine Learning
Artificial intelligence Data-driven models Greenhouse gas emissions Nitrous oxide Soft sensors Water resource recovery facilities

Journal

Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072

Informations de publication

Date de publication:
15 Oct 2023
Historique:
received: 12 06 2023
revised: 22 09 2023
accepted: 23 09 2023
medline: 2 11 2023
pubmed: 2 10 2023
entrez: 1 10 2023
Statut: ppublish

Résumé

Nitrous oxide (N

Identifiants

DOI: 10.1016/j.watres.2023.120667 PMID: 37778084
pubmed: 37778084
pii: S0043-1354(23)01107-7
doi: 10.1016/j.watres.2023.120667
pii:
doi:

Substances chimiques

Wastewater 0
Nitrous Oxide K50XQU1029

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120667

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mostafa Khalil (M)

Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.

Ahmed AlSayed (A)

Department of Civil and Environmental Engineering, McCormick School of Engineering, Northwestern University, United States.

Yang Liu (Y)

Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada; School of Civil and Environmental Engineering, Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: yang.liu@ualberta.ca.

Peter A Vanrolleghem (PA)

modelEAU, Département de génie civil et génie des eaux, Université Laval, 1065 av. de la Médecine, Québec, QC G1V 0A6, Canada.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Déchets › Eaux usées › Machine learning for modeling N
questionsmedicales.fr › Produits chimiques inorganiques › Composés de l'oxygène › Oxydes › Oxydes d'azote › Protoxyde d'azote › Machine learning for modeling N
questionsmedicales.fr › Technologie, industrie et agriculture › Technologie › Biotechnologie › Bioréacteurs › Machine learning for modeling N
questionsmedicales.fr › Environnement et santé publique › Santé publique › Amélioration du niveau sanitaire › Génie sanitaire › Gestion des déchets › Purification de l'eau › Machine learning for modeling N
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Apprentissage machine › Machine learning for modeling N