首页|Researchers from Namibia University of Science and Technology Detail New Studies and Findings in the Area of Machine Learning (Machine Learning Applications for Anomaly Detection In Smart Water Metering Networks: a Systematic Review)
Researchers from Namibia University of Science and Technology Detail New Studies and Findings in the Area of Machine Learning (Machine Learning Applications for Anomaly Detection In Smart Water Metering Networks: a Systematic Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Windhoek, N amibia, by NewsRx correspondents, research stated, "The digitization of the wate r sector has led to the emergence of Smart Water Metering Networks (SWMNs), whic h enable automated and continuous water consumption measurement. However, challe nges persist in efficiently managing and transmitting the vast amount of data ge nerated by these networks." Financial supporters for this research include SASSCAL, Southern African Science Service Centre for Climate Change and Adaptive Land Management (SASSCAL) under the Integrated Water Resource Management (IWRM) program.
WindhoekNamibiaAfricaCyborgsEmer ging TechnologiesMachine LearningNamibia University of Science and Technolog y
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