Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Shunan YANG"'
Publikováno v:
暴雨灾害, Vol 42, Iss 5, Pp 508-520 (2023)
An historically heavy rainfall event occurred in North China from 29 July to 1 August in 2023, causing serious disasters. In this study, the precipitation characteristics and causes of this heavy rainfall event was investigated utilizing various obse
Externí odkaz:
https://doaj.org/article/7a8f797b343c46a09757d1cf8b6a2c01
Publikováno v:
Tropical Cyclone Research and Review, Vol 11, Iss 1, Pp 50-59 (2022)
Based on the typhoon track and intensity data and the precipitation data of typhoon in China during 1961–2020, the overall characteristics of the rainstorm in Fujian caused by typhoon passing though Taiwan Island were studied. More than 80 percent
Externí odkaz:
https://doaj.org/article/2762eaa9186f45b3a3b32d459362253a
Publikováno v:
暴雨灾害, Vol 39, Iss 6, Pp 593-602 (2020)
During July 4 to 10, an extreme heavy rainfall occurred in the Yangtze River Basin. By using high temporal and spatial resolution FY-4A blackbody temperature (TBB) data and the China hourly merged precipitation analysis combining observations from au
Externí odkaz:
https://doaj.org/article/0cf4be3b443d488ebb66f8c523b37f0d
Autor:
Mingyang Chen, Haixia Cui, Mingsheng Nie, Qiuxian Chen, Shunan Yang, Yongliang Du, Feipeng Dai
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12651 (2022)
With the rapid development of science and technology and the improvement of people’s living standards, vehicles have gradually become the main means of travel. The increase in vehicles has also brought about an increasing incidence of car accidents
Externí odkaz:
https://doaj.org/article/f41235507f5b4650818137649ca93c96
Publikováno v:
暴雨灾害, Vol 38, Iss 4, Pp 380-385 (2019)
Based on the daily precipitation data from 2 474 stations in China and the National Centers for Environmental Prediction-Department of Energy (NCEP-DOE) daily reanalysis data, the extreme characteristics of two heavy precipitation events in Yunnan in
Externí odkaz:
https://doaj.org/article/46cdee2b317c4af4ac918344fabb15da
Publikováno v:
Atmosphere, Vol 13, Iss 3, p 398 (2022)
The characteristics and causes of the persistent precipitation of an extreme-rainfall tropical cyclone (TC), In-Fa, in 2021 are studied. It is shown that the extremity of In-Fa’s precipitation was mainly due to two aspects: massively accumulated qu
Externí odkaz:
https://doaj.org/article/b1932ea1aa944587942d9a18874aafba
Autor:
Xidi Zhang, Wenqiang Shen, Xiaoyong Zhuge, Shunan Yang, Yun Chen, Yuan Wang, Tao Chen, Shushi Zhang
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1652 (2021)
In order to investigate the key characteristics of mesoscale convective systems (MCSs) initiated over the Tibetan Plateau (TP) in recent years and the main differences in circulation and environmental factors between different types of MCSs, an autom
Externí odkaz:
https://doaj.org/article/dab972ae11bc4d53a8361d19da363cc3
Autor:
Yuan Liu, Shunan Yang
Publikováno v:
ICCC
Federated learning (FL) is a distributed learning method where multiple users train and upload their local models or gradients to an edge server for artificial intelligence (AI) model training. However, the local model uploading causes information le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b80391e4177ef88a652e969944c7505f
https://doi.org/10.1109/iccc52777.2021.9580422
https://doi.org/10.1109/iccc52777.2021.9580422
Autor:
Shunan Yang, S. T. Zhang, Yuan Wang, Xidi Zhang, Xiaoyong Zhuge, Tao Chen, Wenqiang Shen, Yun Chen
Publikováno v:
Remote Sensing; Volume 13; Issue 9; Pages: 1652
Remote Sensing, Vol 13, Iss 1652, p 1652 (2021)
Remote Sensing, Vol 13, Iss 1652, p 1652 (2021)
In order to investigate the key characteristics of mesoscale convective systems (MCSs) initiated over the Tibetan Plateau (TP) in recent years and the main differences in circulation and environmental factors between different types of MCSs, an autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ce6eebe558175a682978c3bbaf7fca6
Autor:
Yuan Liu, Shunan Yang
Publikováno v:
WCSP
In this paper, we optimize federated learning at network edge via radio resource allocation and scheduling, including user selection, bandwidth allocation and batch-size allocation. We define a new performance metric, namely training efficiency, to n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85bed50a8d56f5e9cb040d3e51c211db
https://doi.org/10.1109/wcsp49889.2020.9299704
https://doi.org/10.1109/wcsp49889.2020.9299704