Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

A reliable leak detection approach is necessary for reducing water loss caused by leakages.
Our research reviews the existing acoustic leak detection approaches, including devices for …

Water distribution networks (WDNs) experience significant water loss due to leaks,
necessitating advanced water leak detection methods. However, machine learning-based …

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

Against the backdrop of severe leakage issue in water distribution systems (WDSs),
numerous researchers have focused on the development of deep learning-based acoustic …

In addition to the issues of water quality and economic losses, leakages in pipe networks are
a potential danger to public safety. Early detection of water leaks in pipe networks is crucial …

This paper explores the use of 'conditional convolutional generative adversarial
networks'(CDCGAN) for image-based leak detection and localization (LD&L) in water …

Water scarcity is a global concern; 68 countries are facing extremely-high to medium-high
risk of water stress. In this era of crisis, where water conservation is an absolute necessity …

Water pipelines often have small cracks and leaks over time due to various degradation
process. Acoustic emission technique is an outstanding method in leak detection for low cost …

Water scarcity as well as social and economic damages caused by the increasing amounts
of non-revenue water in the water distribution networks (WDNs) have been prompting …