Early Leak and Burst Detection in Water Pipeline Networks Using Machine Learning Approaches.

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Title: Early Leak and Burst Detection in Water Pipeline Networks Using Machine Learning Approaches.
Authors: Joseph, Kiran1,2 (AUTHOR), Shetty, Jyoti2,3 (AUTHOR), Patnaik, Rahul3 (AUTHOR), Matthew, Noel S.1,3 (AUTHOR), Van Staden, Rudi1,2 (AUTHOR), Liyanage, Wasantha P.1,3 (AUTHOR), Powell, Grant2 (AUTHOR), Bennett, Nathan2 (AUTHOR), Sharma, Ashok K.1 (AUTHOR) ashok.sharma@vu.edu.au
Source: Water (20734441). Jul2025, Vol. 17 Issue 14, p2164. 18p.
Database: Environment Complete
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  Data: Early Leak and Burst Detection in Water Pipeline Networks Using Machine Learning Approaches.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Jul2025, Vol. 17 Issue 14, p2164. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=186926196
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        Value: 10.3390/w17142164
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        Text: English
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      – TitleFull: Early Leak and Burst Detection in Water Pipeline Networks Using Machine Learning Approaches.
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              Text: Jul2025
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