首页|Researchers from University of Transport Technology Report New Studies and Findi ngs in the Area of Machine Learning (Hybrid Machine Learning Techniques-aided De sign of Corroded Reinforced Concrete Beams)
Researchers from University of Transport Technology Report New Studies and Findi ngs in the Area of Machine Learning (Hybrid Machine Learning Techniques-aided De sign of Corroded Reinforced Concrete Beams)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingout of Hanoi, Vietnam, by NewsRx ed itors, research stated, “Shear strength (SS) is an essential componentin the de sign of reinforced concrete structural elements, particularly in severe settings where reinforcementscan occur and cause a loss in SS. The purpose of this work is to develop a framework for predicting theSS and optimal design of corroded reinforced concrete (CRCo) beams by using a machine learning (ML)approach.”
HanoiVietnamAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Transport Technology
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