首页|Findings from Changzhou University in the Area of Machine Learning Reported [Surface Reinforcement of Recycled Aggregates (Ras) By Geopolymer and Quantifying Its Morphological Characteristics By Machine Learning]
Findings from Changzhou University in the Area of Machine Learning Reported [Surface Reinforcement of Recycled Aggregates (Ras) By Geopolymer and Quantifying Its Morphological Characteristics By Machine Learning]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Jiangsu, People’s R epublic of China, by NewsRx journalists, research stated, “Recycledconcrete agg regate (RCA) and recycled brick aggregate (RBA), derived from construction and d emolitionwaste (C&DW), are increasingly used in concrete materials to conserve natural resources. In certain places,RBA, typically derived from C &DW, originally made with minerals that absorb water easily, dating backto the last century, exhibit higher water absorption and poorer mechanical properties compared to RCA.”Financial support for this research came from Changzhou University, China.
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChangzhou University
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