Robotics & Machine Learning Daily News2024,Issue(Dec.18) :15-16.

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 ...)

Robotics & Machine Learning Daily News2024,Issue(Dec.18) :15-16.

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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Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Aniline Compounds/Cyborgs/Emerging Technologies/Machine Learning/Organic Chemicals/Sulfamethazine/Sulfanilamides/Sulfones/Sulfur Compounds

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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