Abstract: This paper presents a novel weighted likelihood ensemble approach for predicting pipe failures in water distribution networks (WDNs). The proposed method leverages ensemble modeling, specifically stacking, to enhance ...

Abstract: In recent years, machine learning (ML) approaches have been used widely for water pipe condition assessment and failure prediction. These methods require a considerable amount of data from water distribution networks (WDNs). ...