Leak detection and location in water distribution systems (WDSs) is of utmost importance for
reducing water loss, which is, however, a major challenge for water utility companies. To this …

Leakages are undesirable events in water distribution networks (WDNs) with mostly
unknown incident time making it extremely difficult to accurately label leaks in distribution …

This study presents a comprehensive evaluation of 10 state of the art semi-supervised
anomaly detection (AD) methods for leakage identification in water distribution networks …

Two novel solar buses are proposed to mitigate climate change in urban settings.
Operational problems of solar power harnessing in cities such as high land costs and dust …

Pipe burst events pose threats to the safety and stability of water supply networks. Deep
learning models have been studied for burst location analysis in recent years, but the …

Real-time leakage detection based on pressure and flow data has become increasingly
essential for water distribution systems (WDSs). Recent data-driven leakage detection …

Various data-driven anomaly detection methods have been developed for identifying pipe
burst events in water distribution systems (WDSs); however, their detection effectiveness …

This paper presents a failure prediction model using iterative feature selection, which aims
to accurately predict the failure occurrences in industrial Internet of Things (IIoT) …

Leakage is one of the abnormal conditions in water distribution systems (WDSs). Real-time
monitoring can be used to prevent or recover quickly from leakage. However, this is not …

Water pipeline monitoring system becomes a relevant solution to cope with various pipeline
hydraulic failures in order to save the environment from water losses. In this respect …