首页|Researchers from Jaypee University of Engineering & Technology Des cribe Findings in Machine Learning (Machine Learning for Predicting the Half Cel l Potential of Cathodically Protected Reinforced Cement Concrete Slabs Subjected To Chloride ...)
Researchers from Jaypee University of Engineering & Technology Des cribe Findings in Machine Learning (Machine Learning for Predicting the Half Cel l Potential of Cathodically Protected Reinforced Cement Concrete Slabs Subjected To Chloride ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Guna, India, by News Rx journalists, research stated, “This research work predicts the Half Cell Pote ntial (HCP) values of cathodically protected concrete slabs subjected to chlorid e ingress using machine learning techniques. Six classes of cathodically protect ed slabs were cast using centrally placed pure Magnesium (Mg) anodes and AZ91D o f dimensions 1000 mm x 1000 mm x 100 mm.”
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