首页|Studies from University of British Columbia Yield New Data on Machine Learning [Peak and Ultimate Stress-strain Model of Confined Ultra-high-performance Concret e (Uhpc) Using Hybrid Machine Learning Model With Conditional Tabular Generative …]

Studies from University of British Columbia Yield New Data on Machine Learning [Peak and Ultimate Stress-strain Model of Confined Ultra-high-performance Concret e (Uhpc) Using Hybrid Machine Learning Model With Conditional Tabular Generative …]

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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 reportingout of Kelowna, Canada, by NewsRx editors, research stated, “Ultra-high-performance concrete (UHPC)has gained pro minence owing to its exceptional physical and mechanical properties, along with enhancedsustainability, making it ideal for large-scale structural applications . While numerous analytical studieshave focused on predicting the stress-strain response of unconfined UHPC, there remains a lack of areliable model for predi cting the stress-strain response of confined UHPC, which poses challenges to efficient design and broader adoption, particularly in seismically active regions.”

KelownaCanadaNorth and Central Ameri caCyborgsEmerging TechnologiesMachine LearningUniversity of British Colu mbia

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.11)