Cloud-Based Artificial Intelligence Analytics to Assess Combined Sewer Overflow Performance.
Saved in:
| Title: | Cloud-Based Artificial Intelligence Analytics to Assess Combined Sewer Overflow Performance. |
|---|---|
| Authors: | Shepherd, Will1, w.shepherd@sheffield.ac.uk, Mounce, Stephen1, s.r.mounce@sheffield.ac.uk, Sailor, Gavin1, g.sailor@sheffield.ac.uk, Gaffney, John2, john.gaffney@siemens.com, Shah, Neeraj2, nss350@gmail.com, Smith, Nigel3, nigel.smith@yorkshirewater.co.uk, Cartwright, Adam2, adam.cartwright@siemens.com, Boxall, Joby4, J.B.Boxall@sheffield.ac.uk |
| Source: | Journal of Water Resources Planning & Management; Oct2023, Vol. 149 Issue 10, p1-12, 12p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 169940868 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Cloud-Based Artificial Intelligence Analytics to Assess Combined Sewer Overflow Performance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shepherd%2C+Will%22">Shepherd, Will</searchLink><relatesTo>1</relatesTo>, <i>w.shepherd@sheffield.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Mounce%2C+Stephen%22">Mounce, Stephen</searchLink><relatesTo>1</relatesTo>, <i>s.r.mounce@sheffield.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Sailor%2C+Gavin%22">Sailor, Gavin</searchLink><relatesTo>1</relatesTo>, <i>g.sailor@sheffield.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Gaffney%2C+John%22">Gaffney, John</searchLink><relatesTo>2</relatesTo>, <i>john.gaffney@siemens.com</i><br /><searchLink fieldCode="AU" term="%22Shah%2C+Neeraj%22">Shah, Neeraj</searchLink><relatesTo>2</relatesTo>, <i>nss350@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Smith%2C+Nigel%22">Smith, Nigel</searchLink><relatesTo>3</relatesTo>, <i>nigel.smith@yorkshirewater.co.uk</i><br /><searchLink fieldCode="AU" term="%22Cartwright%2C+Adam%22">Cartwright, Adam</searchLink><relatesTo>2</relatesTo>, <i>adam.cartwright@siemens.com</i><br /><searchLink fieldCode="AU" term="%22Boxall%2C+Joby%22">Boxall, Joby</searchLink><relatesTo>4</relatesTo>, <i>J.B.Boxall@sheffield.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Water+Resources+Planning+%26+Management%22">Journal of Water Resources Planning & Management</searchLink>; Oct2023, Vol. 149 Issue 10, p1-12, 12p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=169940868 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1061/JWRMD5.WRENG-5859 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Cloud-Based Artificial Intelligence Analytics to Assess Combined Sewer Overflow Performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shepherd, Will – PersonEntity: Name: NameFull: Mounce, Stephen – PersonEntity: Name: NameFull: Sailor, Gavin – PersonEntity: Name: NameFull: Gaffney, John – PersonEntity: Name: NameFull: Shah, Neeraj – PersonEntity: Name: NameFull: Smith, Nigel – PersonEntity: Name: NameFull: Cartwright, Adam – PersonEntity: Name: NameFull: Boxall, Joby IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 07339496 Numbering: – Type: volume Value: 149 – Type: issue Value: 10 Titles: – TitleFull: Journal of Water Resources Planning & Management Type: main |
| ResultId | 1 |
