Analysing the importance of variables for sewer failure prediction-Reference-Cited by-同舟云学术

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Analysing the importance of variables for sewer failure prediction

Published:2018-04-21 Issue:4 Volume:15 Page:338-345
ISSN:1573-062X
Container-title:Urban Water Journal
language:en
Short-container-title:Urban Water Journal

Author:

Carvalho Guilherme¹,Amado Conceição¹,Brito Rita S.²,Coelho Sérgio T.³,Leitão João P.⁴^ORCID

Affiliation:

1. Department of Mathematics, CEMAT, Instituto Superior Técnico, Universidade de Lisboa , Lisbon, Portugal

2. LNEC: Portuguese National Civil Engineering Laboratory , Lisboa, Portugal

3. Baseform , Lisboa, Portugal

4. Department of Urban Water Management, Eawag: Swiss Federal Institute of Water Science and Technology , Dübendorf, Switzerland

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1573062X.2018.1459748

Reference17 articles.

1. MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA

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2. Evaluating the generalizability and transferability of water distribution deterioration models;Reliability Engineering & System Safety;2024-01

3. A Fuzzy Multidimensional Risk Assessment Method for Sewer Asset Management;International Journal of Civil Engineering;2023-10-19

4. Future Inspection and Deterioration Prediction Capabilities for Buried Distributed Water Infrastructure;Journal of Pipeline Systems Engineering and Practice;2022-08

5. SVM-based predictive model for the most frequent structural failure in Bogota sewer system;International Journal of Critical Infrastructures;2022

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