Robotics & Machine Learning Daily News2024,Issue(Dec.31) :38-39.

New Machine Learning Findings from Zhejiang University Discussed (Analyzing the Compressive Strength of One-part Geopolymers Using Experiment and Machine Learni ng Approaches)

Robotics & Machine Learning Daily News2024,Issue(Dec.31) :38-39.

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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Abstract

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.”

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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