首页|Shanghai Jiao Tong University Reports Findings in Machine Learning (Mapping the constituent preference of tree species for capturing particulate matter on leaf surfaces using single-particle mass spectrometry and supervised machine learning)
Shanghai Jiao Tong University Reports Findings in Machine Learning (Mapping the constituent preference of tree species for capturing particulate matter on leaf surfaces using single-particle mass spectrometry and supervised machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Respiratory health is neg atively influenced by the dimensions and constituents of particulate matter (PM) . Although mass concentration is widely acknowledged to be key to assessing dust retention by urban trees, the role of plant leaves in filtering PM from the urb an atmosphere, particularly regarding the particle dimensions and chemical const ituents of retained PM on the leaf, remains elusive.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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