Risk-Based Water Pipe Failure Prediction through Machine Learning and Hydraulic Models
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Date
2025Author
Ko, Taegon
Farmani, Raziyeh
Keedwell, Edward
Beig Zali, Ramiz
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AbstractFailures in water transmission lines (WTLs) can cause severe disruptions, high repair
costs, and extensive damage to surrounding areas. The interest in proactive management
through predictive methods as a way to mitigate these risks is growing. ...