Robotics & Machine Learning Daily News2024,Issue(Nov.6) :10-11.

Researchers from Nanjing Forestry University Publish New Studies and Findings in the Area of Rock Mechanics and Geotechnical Engineering (Data-augmented landsli de displacement prediction using generative adversarial network)

Robotics & Machine Learning Daily News2024,Issue(Nov.6) :10-11.

Researchers from Nanjing Forestry University Publish New Studies and Findings in the Area of Rock Mechanics and Geotechnical Engineering (Data-augmented landsli de displacement prediction using generative adversarial network)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on rock mechanics and ge otechnical engineering have been presented.According to news originating from N anjing, People’s Republic of China, by NewsRx correspondents, research stated, “ Landslides are destructive natural disasters that cause catastrophic damage and loss of life worldwide.Accurately predicting landslide displacement enables eff ective early warning and risk management.However, the limited availability of o n-site measurement data has been a substantial obstacle in developing data-drive n models, such as state-of-the-art machine learning (ML) models.”

Key words

Nanjing Forestry University/Nanjing/Pe ople’s Republic of China/Asia/Engineering/Rock Mechanics and Geotechnical Eng ineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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