首页|Chinese Research Academy of Environmental Sciences Researchers Focus on Machine Learning (A novel-approach for identifying sources of fluvial DOM using fluoresc ence spectroscopy and machine learning model)
Chinese Research Academy of Environmental Sciences Researchers Focus on Machine Learning (A novel-approach for identifying sources of fluvial DOM using fluoresc ence spectroscopy and machine learning model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting originating from the Chinese Research Academy of Environmental Sciences by NewsRx correspondents, research s tated, "Rivers are well known as one of the most threatened aquatic environments , whose structure and water quality can be deeply impacted by intensive anthropo genic activities. Despite the fact that anthropogenic influences on river ecosys tems could indeed be deduced from the composition and chemistry of fluvial disso lved organic matter (DOM), sources of anthropogenic loading to DOM are still poo rly explored." Financial supporters for this research include National Key Research And Develop ment Program of China.
Chinese Research Academy of Environmenta l SciencesCyborgsEmerging TechnologiesMachine Learning
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