首页|New Machine Learning Findings from Hunan University Described (Interpretable Ens emble Machine Learning Models for Predicting the Shear Capacity of Uhpc Joints)
New Machine Learning Findings from Hunan University Described (Interpretable Ens emble Machine Learning Models for Predicting the Shear Capacity of Uhpc Joints)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting from Changsha, People’s Republic of Chi na, by NewsRx journalists, research stated, “Precast ultra-highperformance conc rete (UHPC) structures (PUSs) have gained increasing research and application in terest in civil engineering owing to the combination of advanced construction ma terials and methods. UHPC joints are critical parts of PUSs; thus, an accurate p rediction of their shear capacity (SC) is essential to ensure structural safety and reliability.”
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