首页|New Findings from State University of Maringa (UEM) Describe Advances in Machine Learning (NTL-Unet: A Satellite-Based Approach for Non-Technical Loss Detection in Electricity Distribution Using Sentinel-2 Imagery and Machine Learning)
New Findings from State University of Maringa (UEM) Describe Advances in Machine Learning (NTL-Unet: A Satellite-Based Approach for Non-Technical Loss Detection in Electricity Distribution Using Sentinel-2 Imagery and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingfrom Maringa, Brazil, by NewsRx j ournalists, research stated, “This study introduces an orbital monitoringsystem designed to quantify non-technical losses (NTLs) within electricity distributio n networks.”
State University of Maringa (UEM)Marin gaBrazilSouth AmericaCyborgsEmerging TechnologiesMachine Learning
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