This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

In this paper, leak detection and localization in water distribution networks will be reviewed.
In particular, the paper presents the evolution of the methods from model-based towards …

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

Leakage detection in the water distribution system not only helps to reduce water waste but
also decreases the risk of drinking water pollution. To reduce reliance on hardware devices …

The adoption of strategies for monitoring water consumption is essential for water resources
management, contributing to the promotion of the sustainability in the water sector. Statistical …

In recent decades, research on leak detection and localization in water distribution networks
has been an area of growing interest in both water management and fault detection. In the …

With the availability of real-time monitoring data, leakage detection for water distribution
networks (WDNs) based on data-driven methods has received increasing attention in recent …

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 …

Pipe leak detection can be carried out by various acoustic/vibration sensors, such as
acoustic pressure, velocity and acceleration sensors. The purpose of this study is to …

The current paper presents a hyper parameterization optimization process for a
convolutional neural network (CNN) applied to pipe burst locations in water distribution …