'Just One More Sensor is Enough'–Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors

M Cholewa, M Romaszewski, P Głomb… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
In this article, we propose an approach to leak localization in a complex water delivery grid
with the use of data from physical simulation (eg, EPANET software). This task is usually …

Identifying failure types in cyber-physical water distribution networks using machine learning models

U Parajuli, S Shin - AQUA—Water Infrastructure, Ecosystems and …, 2024 - iwaponline.com
Water cyber-physical systems (CPSs) have experienced anomalies from cyber-physical
attacks as well as conventional physical and operational failures (eg, pipe leaks/bursts). In …

A Comprehensive Exploration of Machine Learning and IoT Applications for Transforming Water Management

M Kaur, R Aron, H Wadhwa, R Tandon… - … in Machine Learning …, 2024 - igi-global.com
Water scarcity and environmental concerns have become pressing issues in the modern
world, necessitating innovative approaches to water management. Global issues including …

IoT and AI for Real-time Water Monitoring and Leak Detection

L Guezouli, L Guezouli, MBE Djeghaba… - Journal of Renewable …, 2024 - revue.cder.dz
Water is essential for ecological sustainability and human survival, necessitating effective
management to meet rising global demands and address climate change. Traditional water …

Innovative Methodologies for Leak Detection Using Hydrophone Data and Machine Learning Techniques

E Mohammed, J Abdelilah - 2024 IEEE 12th International …, 2024 - ieeexplore.ieee.org
The aim of this research is to develop innovative methodologies for leak detection using
hydrophone data and machine learning techniques. The database used has been shared …

[引用][C] Inteligentne rozwiązania informatyczne do zarządzania systemem dystrybucji wody

E Kilian-Błażejewska - Kierunek Wod-Kan, 2023 - yadda.icm.edu.pl