首页|Data on Machine Learning Reported by Bingxin Liu and Colleagues (Simulation and prediction of sulfamethazine migration, transformation and risk diffusion during cross-media infiltration from surface water to groundwater driven by dynamic wa ter ...)
Data on Machine Learning Reported by Bingxin Liu and Colleagues (Simulation and prediction of sulfamethazine migration, transformation and risk diffusion during cross-media infiltration from surface water to groundwater driven by dynamic wa ter ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Seasonalwater level fluctuations in rivers significantly influenced the cross-media migration, trans formation, and risk diffusion of antibiotics from the vadose zone into groundwat er. This study developed a coupledmodel integrating machine learning (ML) with HYDRUS-3D and GMS to accurately predict sulfamethazinemigration under dynamic w ater levels.”
BeijingPeople’s Republic of ChinaAsi aAniline CompoundsCyborgsEmerging TechnologiesMachine LearningOrganic ChemicalsSulfamethazineSulfanilamidesSulfonesSulfur Compounds
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