A microservice architecture for leak localization in water distribution networks using hybrid AI
Author:
Affiliation:
1. a IDLab, Ghent University – imec, 9052 Zwijnaarde, Belgium
2. b De Watergroep, 1000 Brussels, Belgium
3. c Hydroscan, 3010 Leuven, Belgium
4. d Itineris, 9000 Ghent, Belgium
Abstract
Funder
Fonds Wetenschappelijk Onderzoek
Publisher
IWA Publishing
Subject
Atmospheric Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering,Water Science and Technology
Link
https://iwaponline.com/jh/article-pdf/25/3/851/1257377/jh0250851.pdf
Reference18 articles.
1. Towards achieving a reliable leakage detection and localization algorithm for application in water piping networks: an overview;IEEE Access,2017
2. A solution for water management and leakage detection problems using IoTs based approach;Internet Things,2022
3. Machine learning model and strategy for fast and accurate detection of leaks in water supply network;J. Infrastruct. Preserv. Resilience,2021
4. Future global urban water scarcity and potential solutions;Nat. Commun.,2021
5. Review of model-based and data-driven approaches for leak detection and location in water distribution systems;Water Supply,2021
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