Robotics & Machine Learning Daily News2024,Issue(MAY.31) :46-46.

Study Results from Technical University Munich (TU Munich) Update Understanding of Machine Learning (Using Optimized Spectral Indices and Machine Learning Algor ithms to Assess Soil Copper Concentration in Mining Areas)

Robotics & Machine Learning Daily News2024,Issue(MAY.31) :46-46.

Study Results from Technical University Munich (TU Munich) Update Understanding of Machine Learning (Using Optimized Spectral Indices and Machine Learning Algor ithms to Assess Soil Copper Concentration in Mining Areas)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news reporting originating from Freising, Ge rmany, by NewsRx correspondents, research stated, “Soil copper (Cu) contaminatio n in mining areas poses a serious threat to the surrounding environment and huma n health. Timely determination of Cu concentrations is crucial for the ecologica l protection of mining areas.” Financial supporters for this research include National Natural Science Foundati on of China; National Key Research And Development Plan Project.

Key words

Technical University Munich (TU Munich)/Freising/Germany/Europe/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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