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Predictive Machine Learning Algorithm Forecasts Potential Water Main Breaks

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Predictive Machine Learning Algorithm Forecasts Potential Water Main Breaks

Nobel Systems has developed a new Predictive Machine Learning algorithm that enables water utilities to forecast the likelihood of pipe leaks and system failures. The breakthrough algorithm allows services to create a preventative pipe replacement plan that will reduce costly ruptures.

Nobel IoT Engineer Tanmay Thakur created the new algorithm, which uses artificial intelligence (AI) or Machine Learning. The model gives a Prediction of Leak (POF) rating based on historical and present GIS/IoT data collected via GeoViewer.

Continue reading Predictive Machine Learning Algorithm Forecasts Potential Water Main Breaks at Powered by Nobel Systems.


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