首页|Findings from Shenzhen University Yields New Findings on Machine Learning (Perfo rmance Evaluation of Conductive Materials In Conductive Mortar Based On Machine Learning)
Findings from Shenzhen University Yields New Findings on Machine Learning (Perfo rmance Evaluation of Conductive Materials In Conductive Mortar Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Conductivemortar auxiliary anode (CMAA) is one of the main materials to realize stable operation of cathodicprotection system. However, the conductive material in CMAA is comp lex and diverse, and its basicphysical properties have a complex functional rel ation with the type and content of conductive material.”
ShenzhenPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShenzhen University
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