Adaptation of Artificial Neural Network for Predicting Institutional Wastewater Volume.
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| Title: | Adaptation of Artificial Neural Network for Predicting Institutional Wastewater Volume. |
|---|---|
| Authors: | Akpan, Victor1,2, Adenugba, Favour3, Omole, David2 david.omole@wits.ac.za |
| Source: | Polish Journal of Environmental Studies. 2026, Vol. 35 Issue 3, p3509-3522. 14p. |
| Database: | Environment Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: eih DbLabel: Environment Complete An: 194879956 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Adaptation of Artificial Neural Network for Predicting Institutional Wastewater Volume. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Akpan%2C+Victor%22">Akpan, Victor</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Adenugba%2C+Favour%22">Adenugba, Favour</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Omole%2C+David%22">Omole, David</searchLink><relatesTo>2</relatesTo><i> david.omole@wits.ac.za</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Polish+Journal+of+Environmental+Studies%22">Polish Journal of Environmental Studies</searchLink>. 2026, Vol. 35 Issue 3, p3509-3522. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194879956 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15244/pjoes/204426 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 3509 Titles: – TitleFull: Adaptation of Artificial Neural Network for Predicting Institutional Wastewater Volume. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Akpan, Victor – PersonEntity: Name: NameFull: Adenugba, Favour – PersonEntity: Name: NameFull: Omole, David IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 12301485 Numbering: – Type: volume Value: 35 – Type: issue Value: 3 Titles: – TitleFull: Polish Journal of Environmental Studies Type: main |
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