首页|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)
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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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.”
Jiangxi University of Science and Techno logyGanzhouPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging T echnologiesMachine Learning
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