Robotics & Machine Learning Daily News2024,Issue(Dec.23) :71-71.

New Findings Reported from East China University of Technology Describe Advances in Machine Learning (An Optimized Nonlandslide Sampling Method for Landslide S usceptibility Evaluation Using Machine Learning Models)

Robotics & Machine Learning Daily News2024,Issue(Dec.23) :71-71.

New Findings Reported from East China University of Technology Describe Advances in Machine Learning (An Optimized Nonlandslide Sampling Method for Landslide S usceptibility Evaluation Using Machine Learning Models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Nanchang, People’s Republic of China, by NewsRx journalists, research stated, “Machine learningmodels are ext ensively utilized in landslide susceptibility (LS) mapping. However, the convent ionalselection of non-landslide samples often contains numerous flaws, potentia lly leading to unscientific andinaccurate LS assessments.”

Key words

Nanchang/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/East China University of T echnology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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