Robotics & Machine Learning Daily News2024,Issue(Apr.30) :27-28.

Nanjing Forestry University Researcher Updates Understanding of Machine Learning (Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine . ..)

Robotics & Machine Learning Daily News2024,Issue(Apr.30) :27-28.

Nanjing Forestry University Researcher Updates Understanding of Machine Learning (Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine . ..)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting from Nanjing, People’ s Republic of China, by NewsRx journalists, research stated, “In this study,a m ethod was introduced to validate the presence of a Representative Elementary Vol ume (REV) withinmarine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure.Physical testing provided the basis for t his verification.”

Key words

Nanjing Forestry University/Nanjing/Pe ople’s Republic of China/Asia/Cyborgs/Emerging Technologies/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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