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Early detection of events in sectorized water networks with Machine Learning techniques

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Posted on October 11, 2019 at 09:37 AM

INCLAM and CIMNE promote the project SMILER. WatEner is proud to share the news of the presentation of the paper “Adaptive algorithm for water loss estimation in networks based on advanced analysis of Minimum Night Flow (MNF)” undertaken by David J. Vicente of CIMNE at the Water Loss 2019 conference held last September in Bucharest. […]

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