首页|Geological Survey of Denmark and Greenland Reports Findings in Machine Learning (Modeling groundwater redox conditions at national scale through integration of sediment color and water chemistry in a machine learning framework)
Geological Survey of Denmark and Greenland Reports Findings in Machine Learning (Modeling groundwater redox conditions at national scale through integration of sediment color and water chemistry in a machine learning framework)
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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 newsreporting originating from Copenhagen, Denmark, by NewsRx correspondents, research stated, “Redoxconditions play a cru cial role in determining the fate of many contaminants in groundwater, impactingecosystem services vital for both the aquatic environment and human water suppl y. Geospatial machinelearning has previously successfully modelled large-scale redox conditions.”
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