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Integrating dynamic features into machine learning models for predicting sewer network failures: a Random Forest approach (2025)

First Author: Aounali O

Attributed to: Pervasive Sensing for Buried Pipes funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/1573062x.2025.2589081

Publication URI: http://dx.doi.org/10.1080/1573062x.2025.2589081

Type: Journal Article/Review

Parent Publication: Urban Water Journal