首页|Findings from Peking University Has Provided New Data on Networks (Fdnet: a Deep Learning Approach With Two Parallel Cross Encoding Pathways for Precipitation Nowcasting)
Findings from Peking University Has Provided New Data on Networks (Fdnet: a Deep Learning Approach With Two Parallel Cross Encoding Pathways for Precipitation Nowcasting)
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 Network Daily News - Data detailedon Networks have been presented. According to news originating from Beijing, People’s Republic of China,by NewsRx correspondents, research stated, “With the goal of predicting the future rainfall intensity ina local region over a relatively short period time, precipitation nowcasting has been a long-time scientificchallenge with great social and economic impact. The radar echo extrapolation approaches for precipitationnowcasting take radar echo images as input, aiming to generate future radar echo images by learning fromthe historical images.”
BeijingPeople’s Republic of ChinaAsiaNetwork ArchitecturesNetworksPeking University