首页|New Machine Learning Findings from Southern University of Science and Technology (SUSTech) Described (A Machine Learning Based-method To Generate Random Circle- packed Porous Media With the Desired Porosity and Permeability)
New Machine Learning Findings from Southern University of Science and Technology (SUSTech) Described (A Machine Learning Based-method To Generate Random Circle- packed Porous Media With the Desired Porosity and Permeability)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Shenzhen, Peo ple's Republic of China, by NewsRx journalists, research stated, "The generation of digital porous media facilitates the fabrication of artificial porous media and the analysis of their properties. The past random digital porous medium gene ration methods are unable to generate a porous medium with a specified permeabil ity." Financial supporters for this research include Department of Science and Technol ogy of Guangdong Province, China, National Natural Science Foundation of China ( NSFC), Shenzhen Peacock Plan, China, Center for Computational Science and Engine ering of Southern University of Science and Technology, China.
ShenzhenPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningSouthern University of Sci ence and Technology (SUSTech)
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