摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者从圣路易斯Missouri报道，研究称，“传感器”网络提供了PM2.5浓度随时间变化的spa解析信息世界各地的城市地区。对温度和温度控制进行了相对简单的改进输入空气的湿度，以及适当的质量保证和校准协议，低成本的监测器为我提供与参考PM2.5监护仪高度相关的测量。这项研究的财政支持来自美国国务院。
Abstract
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 St. Louis, M issouri, by NewsRx correspondents, research stated, “Sensornetworks provide spa tially resolved information about the time variation of PM2.5 concentrations inurban areas around the world. With relatively simple improvements to the control of the temperature andhumidity of incoming air, and with proper quality assura nce and calibration protocols, a low cost monitorwas developed that provides me asurements that were highly correlated with a reference PM2.5 monitor.”Financial support for this research came from United States Department of State.
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