首页|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 . ..)
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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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.”
Nanjing Forestry UniversityNanjingPe ople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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