首页|Data on Machine Learning Described by Researchers at Nanjing Vocational Universi ty of Industry Technology (Estimation of Cation Exchange Capacity for Low-Activi ty Clay Soil Fractions Using Experimental Data from South China)
Data on Machine Learning Described by Researchers at Nanjing Vocational Universi ty of Industry Technology (Estimation of Cation Exchange Capacity for Low-Activi ty Clay Soil Fractions Using Experimental Data from South China)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to newsreporting out of Nanjing, Pe ople’s Republic of China, by NewsRx editors, research stated, “The cationexchan ge capacity (CEC) of the clay fraction (<2 mm), denoted as CEC [ [clay] ] , serves as a crucialindicator for identifying low-activity clay (LAC) soils an d is an essential criterion in soil classification.Traditional methods of estim ating CEC [ [clay] ] , such as dividing the whole-soil CEC (CEC [ [soil] ] ) bythe clay content, can be prob lematic due to biases introduced by soil organic matter and different typesof c lay minerals.”
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