Combining clustering and regularised neural network for burst detection and localization and flow/pressure sensor placement in water distribution networks-Reference-Cited by-同舟云学术

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Combining clustering and regularised neural network for burst detection and localization and flow/pressure sensor placement in water distribution networks

Published:2024-06 Issue: Volume:63 Page:105473
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Lo Presti J.,Giudicianni C.,Toffanin C.,Creaco E.,Magni L.,Galuppini G.

Funder

University of Pavia

Ministero dell’Istruzione, dell’Università e della Ricerca

European Union

Publisher

Elsevier BV

Reference46 articles.

1. Quantifying the global non-revenue water problem;Liemberger;Water Supply,2019

2. Municipal Water Supply;Statistics-Norway,2021

3. Low-cost, tiny-sized MEMS hydrophone sensor for water pipeline leak detection;Xu;IEEE Trans. Ind. Electron.,2018

4. Assessing the public health risk of microbial intrusion events in distribution systems: conceptual model, available data, and challenges;Besner;Water Res.,2011

5. Potential for pathogen intrusion during pressure transients;Karim;J. Am. Water Works Assoc.,2003

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing the analysis of water pipe failures: a probabilistic framework for identifying significant factors;Scientific Reports;2024-08-19

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