首页|McGill University Reports Findings in Machine Learning (Long-Term Exposure to Outdoor Ultrafine Particles and Black Carbon and Effects on Mortality in Montreal and Toronto, Canada)
McGill University Reports Findings in Machine Learning (Long-Term Exposure to Outdoor Ultrafine Particles and Black Carbon and Effects on Mortality in Montreal and Toronto, Canada)
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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 the subject of a report. According to news reporting originating in Quebec, Canada, by NewsRx journalists, research stated, “Numerous studies support an important relationship between long-term exposure to outdoor fine particulate air polluti on (PM) and both nonaccidental and cause-specific mortality. Less is known about the long-term health consequences of other traffic pollutants, including ultraf ine particles (UFPs, <0.1 mm) and black carbon (BC), which are often present at elevated concentrations in urban areas but are not currently regulated.”
QuebecCanadaNorth and Central AmericaCyborgsEmerging TechnologiesEpidemiologyMachine LearningRisk and Prevention
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