首页|Investigators from Opole University of Technology Release New Data on Machine Le arning (A Study On Friction Induced Tribological Characteristics of Steel 316 L Against 100 Cr6 Alloy Under Different Lubricating Conditions With Machine Learni ng ...)
Investigators from Opole University of Technology Release New Data on Machine Le arning (A Study On Friction Induced Tribological Characteristics of Steel 316 L Against 100 Cr6 Alloy Under Different Lubricating Conditions With Machine Learni ng ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Opole, Poland, by NewsRx correspondents, research stated, “The material steadily wears away fr om touching surfaces when two solid entities are constantly moving against one o ther. When more parameters and extreme materials are involved in tribological te sting, then it is very difficult to analyze and observe the working phenomena.”
OpolePolandEuropeCyborgsEmerging TechnologiesMachine LearningOpole University of Technology
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