首页|New Machine Learning Findings from Zhejiang University Discussed (Analyzing the Compressive Strength of One-part Geopolymers Using Experiment and Machine Learni ng Approaches)
New Machine Learning Findings from Zhejiang University Discussed (Analyzing the Compressive Strength of One-part Geopolymers Using Experiment and Machine Learni ng Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Hangzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “As thedemand for sust ainable construction materials grows, one-part geopolymers present a viable alte rnativedue to their potential for enhancing strength while minimizing carbon em issions and costs. However,accurately predicting the compressive strength of th ese materials poses significant challenges.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningZhejiang University
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