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Water
Volume 16
Issue 14
10.3390/w16141935
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Open AccessArticle
Water 2024, 16(14), 1935; https://doi.org/10.3390/w16141935
Action | Date | Notes | Link |
---|---|---|---|
article xml file uploaded | 9 July 2024 10:03 CEST | Original file | - |
article xml uploaded. | 9 July 2024 10:03 CEST | Update | https://www.mdpi.com/2073-4441/16/14/1935/xml |
article pdf uploaded. | 9 July 2024 10:03 CEST | Version of Record | https://www.mdpi.com/2073-4441/16/14/1935/pdf |
article html file updated | 9 July 2024 10:05 CEST | Original file | https://www.mdpi.com/2073-4441/16/14/1935/html |
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MDPI and ACS Style
Joseph, K.; Shetty, J.; Sharma, A.K.; van Staden, R.; Wasantha, P.L.P.; Small, S.; Bennett, N. Leak and Burst Detection in Water Distribution Network Using Logic- and Machine Learning-Based Approaches. Water 2024, 16, 1935. https://doi.org/10.3390/w16141935
AMA Style
Joseph K, Shetty J, Sharma AK, van Staden R, Wasantha PLP, Small S, Bennett N. Leak and Burst Detection in Water Distribution Network Using Logic- and Machine Learning-Based Approaches. Water. 2024; 16(14):1935. https://doi.org/10.3390/w16141935
Chicago/Turabian Style
Joseph, Kiran, Jyoti Shetty, Ashok K. Sharma, Rudi van Staden, P. L. P. Wasantha, Sharna Small, and Nathan Bennett. 2024. "Leak and Burst Detection in Water Distribution Network Using Logic- and Machine Learning-Based Approaches" Water 16, no. 14: 1935. https://doi.org/10.3390/w16141935
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