首页|New Machine Learning Study Results from University of Moratuwa Described (Evalua ting the Performance of Ensemble Machine Learning Algorithms Over Traditional Ma chine Learning Algorithms for Predicting Fire Resistance in FRP Strengthened ... )
New Machine Learning Study Results from University of Moratuwa Described (Evalua ting the Performance of Ensemble Machine Learning Algorithms Over Traditional Ma chine Learning Algorithms for Predicting Fire Resistance in FRP Strengthened ... )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence.According to news reporting from the University of Moratuwa by NewsR x journalists, research stated, “In recent years, fiber-reinforced polymers (FRP ) have emerged as a highly effective solution for strengthening reinforced concr ete (RC) structures.However, accurately assessing the fire resistance of FRP-st rengthened members remains a significant challenge due to the limited guidance a vailable in current building codes, often leading to conservative and cost-inten sive evaluations.”
University of MoratuwaAlgorithmsCybo rgsEmerging TechnologiesMachine Learning
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