首页|Studies from National University of Defense Technology Have Provided New Informa tion about Machine Learning (Machine Learning Model To Accurately Estimate the P lanetary Boundary Layer Height of Beijing Urban Area With Era5 Data)
Studies from National University of Defense Technology Have Provided New Informa tion about Machine Learning (Machine Learning Model To Accurately Estimate the P lanetary Boundary Layer Height of Beijing Urban Area With Era5 Data)
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NETL
NSTL
Elsevier
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Changsha, People’s R epublic of China, by NewsRx journalists, research stated, “The planetary boundar y layer height (PBLH) is one of the most important parameters in the environment al, weather, and climatic research. Therefore, it is of great significance and a pplication value to accurately estimate the PBLH by using the available conventi onal reanalysis meteorological datasets.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNational University of Def ense Technology
NETL
NSTL
Elsevier
