Risk Assessment of Sewer Condition Using Artificial Intelligence Tools: Application to the Sanest Sewer System

AuthID
 P-009-7N8
4
Author(s)
Tipo de Documento
Article
Year published
2014
Publicado
in WATER SCIENCE AND TECHNOLOGY, ISSN: 0273-1223
Volume: 69, Número: 3, Páginas: 622-627 (6)
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Publication Identifiers
Pubmed: 24552736
SCOPUS: 2-s2.0-84896762887
Wos: WOS:000332074000022
Source Identifiers
ISSN: 0273-1223
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