Performance evaluation and modeling of a submerged membrane bioreactor treating combined municipal and industrial wastewater using radial basis function artificial neural networks
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2052-336X
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
Performance evaluation and modeling of a submerged membrane bioreactor treating combined municipal and industrial wastewater using radial basis function artificial neural networks ; volume:13 ; number:1 ; day:13 ; month:3 ; year:2015 ; pages:1-15 ; date:12.2015
Journal of environmental health science & engineering ; 13, Heft 1 (13.3.2015), 1-15, 12.2015
- Creator
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Mirbagheri, Seyed Ahmad
Bagheri, Majid
Boudaghpour, Siamak
Ehteshami, Majid
Bagheri, Zahra
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s40201-015-0172-4
- URN
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urn:nbn:de:101:1-2021081521212501591218
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mirbagheri, Seyed Ahmad
- Bagheri, Majid
- Boudaghpour, Siamak
- Ehteshami, Majid
- Bagheri, Zahra
- SpringerLink (Online service)
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Bioreactor systems and effects
Anaerobic submerged membrane bioreactor (MBR) treating municipal wastewater under mesophilic and psychrophilic temperature conditions
Anaerobic submerged membrane bioreactor (AnSMBR) treating municipal wastewater under mesophilic and psychrophilic temperature conditions
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Molecular-based detection of potentially pathogenic bacteria in membrane bioreactor (MBR) systems treating municipal wastewater: a case study
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Development of a comprehensive mathematical model for municipal wastewater treating microbial fuel cells
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Application with Internet of things technology in the municipal industrial wastewater treatment based on membrane bioreactor process