首页|Investigators from Cornell University Zero in on Machine Learning(Predicting Ti me To Cracking of Concrete Composites Under Restrained Shrinkage: a Review With Insights From Statistical Analysis and Ensemble Machine Learning Approaches)
Investigators from Cornell University Zero in on Machine Learning(Predicting Ti me To Cracking of Concrete Composites Under Restrained Shrinkage: a Review With Insights From Statistical Analysis and Ensemble Machine Learning Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating in Ithaca, New York, by News Rx journalists, research stated, “Restrained shrinkage crackingsignificantly un dermines the performance of reinforced concrete and shortens the structures’ lif espan.Standard methods have been established to examine restrained shrinkage cr acking of cementitious composites,i.e., ASTM C1581, AASHTO T 334, AASHTO T 363, and RILEM TC 119-TCE.”
IthacaNew YorkUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine LearningCornell Un iversity
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