首页|Findings from Sichuan University Yields New Findings on Machine Learning (Advancing Ultimate Bond Stress-slip Model of Uhpc Structures Through a Novel Hybrid Ma chine Learning Approach)
Findings from Sichuan University Yields New Findings on Machine Learning (Advancing Ultimate Bond Stress-slip Model of Uhpc Structures Through a Novel Hybrid Ma chine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Zigong, People’s Republic o f China, by NewsRx correspondents, research stated, “The significance of Ultimat e Bond Stress-Slip (UBS-S) in reinforced Ultra-High Performance Concrete (UHPC) structures cannot be overstated, as it directly affects their load-carrying capa city, structural integrity, and longterm performance. A comprehensive analysis o f the UHPC-Parallel Micro Element System (UHPC-PMES), including 144 specimens, e valuated the computational efficiency of the proposed UBS-S model.”
ZigongPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningSichuan University
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