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)

Robotics & Machine Learning Daily News2024，Issue(Aug.22) ：70-70.

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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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Abstract

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.”

Key words

State University of Maringa (UEM)/Marin ga/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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