TY  - JOUR

T1  - Integrating dynamic features into machine learning models for predicting sewer network failures: a Random Forest approach

JO  - Urban Water Journal

UR  - https://eprints.whiterose.ac.uk/id/eprint/234548

PY  - 2025/11/21

AU  - Aounali O

AU  - Shepherd W

AU  - Tait S

ED  - 

DO  - DOI: 10.1080/1573062X.2025.2589081

PB  - Taylor and Francis Group

VL  - 23

IS  - 3

SP  - 408

EP  - 423

Y2  - 2026/04/12

ER  -