Application of Machine Learning for Leak Localization in Water Supply Networks

Water distribution networks (WDNs) in urban areas are predominantly underground for seamless freshwater transmission. As a result, monitoring their health is often complicated, requiring expensive equipment and methodologies. This study proposes a low-cost approach to locating leakages in WDNs in an...

詳細記述

書誌詳細
出版年:Buildings
主要な著者: Abdul-Mugis Yussif, Haleh Sadeghi, Tarek Zayed
フォーマット: 論文
言語:英語
出版事項: MDPI AG 2023-03-01
主題:
オンライン・アクセス:https://www.mdpi.com/2075-5309/13/4/849