首页|Findings from School of Mechanical Engineering Has Provided New Data on Machine Learning (Prediction of Coefficient of Friction of Solid Powder Lubricants Under High Pressure Conditions Using Machine Learning Algorithms)
Findings from School of Mechanical Engineering Has Provided New Data on Machine Learning (Prediction of Coefficient of Friction of Solid Powder Lubricants Under High Pressure Conditions Using Machine Learning Algorithms)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Machine Learning are discuss ed in a new report. According to news reportingoriginating from Vellore, India, by NewsRx correspondents, research stated, “Conventional liquid lubricantsprov e inadequate for effective lubrication in conditions characterized by high tempe ratures and highvacuum environments. In such extreme scenarios, powder lubrican ts emerge as a more viable solution.”
VelloreIndiaAsiaAlgorithmsCyborg sEmerging TechnologiesMachine LearningSchool of Mechanical Engineering
NETL
NSTL
