Robotics & Machine Learning Daily News2024,Issue(Aug.9) :66-67.

Researcher from Jiangxi University of Science and Technology Reports on Findings in Machine Learning (Ensemble Learning Improves the Efficiency of Microseismic Signal Classification in Landslide Seismic Monitoring)

Robotics & Machine Learning Daily News2024,Issue(Aug.9) :66-67.

Researcher from Jiangxi University of Science and Technology Reports on Findings in Machine Learning (Ensemble Learning Improves the Efficiency of Microseismic Signal Classification in Landslide Seismic Monitoring)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news reporting out ofGanzhou, People’s Republic of Chi na, by NewsRx editors, research stated, “A deep-seated landslide couldrelease n umerous microseismic signals from creep-slip movement, which includes a rock-soi l slip from theslope surface and a rock-soil shear rupture in the subsurface.”

Key words

Jiangxi University of Science and Techno logy/Ganzhou/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging T echnologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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