首页|Data on Machine Learning Described by Researchers at Ocean University of China ( Identifying decadal trends in deweathered concentrations of criteria air polluta nts in Canadian urban atmospheres with machine learning approaches)
Data on Machine Learning Described by Researchers at Ocean University of China ( Identifying decadal trends in deweathered concentrations of criteria air polluta nts in Canadian urban atmospheres with machine learning approaches)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Qingdao, People’s Rep ublic of China, by NewsRx editors, the research stated, “Thisstudy investigates long-term trends of criteria air pollutants, including NO [ [2] ] , CO, SO [ [2] ] , O [ [3]] and PM [ [2.5] ] , and O [ [* * x* * ] ] (meaning NO [ [2] ] +O [ [3] ] ) measured in 10 Canadiancities during the last 2 to 3 decades. We also investi gated associated driving forces in terms of emissionreductions, perturbations d ue to varying weather conditions and large-scale wildfires, as well as changes in O [ [3] ] sources and sinks.”
Ocean University of ChinaQingdaoPeop le’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
