首页|Reports Outline Machine Learning Study Results from Clemson University (Machine Learning Approach for Predicting Fire Resistance of Frp-strengthened Concrete Be ams)
Reports Outline Machine Learning Study Results from Clemson University (Machine Learning Approach for Predicting Fire Resistance of Frp-strengthened Concrete Be ams)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Clemson, South Caro lina, by NewsRx correspondents, research stated, “This paperpresents a data-dri ven machine learning (ML)-based approach for predicting the fire resistance of f iberreinforcedpolymer (FRP)-strengthened reinforced concrete beams. To this en d, a comprehensive databaseof fire tests on FRP-strengthened concrete beams rep orted in literature was compiled.”
ClemsonSouth CarolinaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningCle mson University
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