首页|New Machine Learning Findings from University of Technology Described (Character ization and Prediction of Pm2.5 Levels In Afghanistan Using Machine Learning Tec hniques)
New Machine Learning Findings from University of Technology Described (Character ization and Prediction of Pm2.5 Levels In Afghanistan Using Machine Learning Tec hniques)
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 Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Johor, Mala ysia, by NewsRx correspondents, research stated, "Afghanistan faces severe air q uality issues in major cities due to various sources like transportation, domest ic energy use, and industrial activity. This study investigates PM2.5 spatiotemp oral variability and its future relationship with six meteorological variables: precipitation, temperature, dewpoint temperature, wind speed, boundary layer hei ght and surface pressure." Financial support for this research came from Professional Development Research University (PDRU) fund of Universiti Teknologi Malaysia (UTM).
JohorMalaysiaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Technology
NETL
NSTL
