Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Dexing Wu"'
Publikováno v:
IEEE Access, Vol 8, Pp 202848-202857 (2020)
Forecasting traffic flow is a typical time series problem, which has attracted increasing attention due to the urgent need in intelligent transportation systems. Although numerous time series forecasting methods have been investigated in past decades
Externí odkaz:
https://doaj.org/article/7a40a1147aa0429c93e9ffff9c3449dd
Publikováno v:
Atmosphere-Ocean. 61:94-104
The Influence of Typhoon ‘Hongxia’ on the Intrusion of the Kuroshio Current into the South China Sea
Publikováno v:
Journal of Ocean University of China. 22:297-312
Publikováno v:
Climate Dynamics.
Publikováno v:
Journal of Geophysical Research: Oceans. 127
Publikováno v:
Deep Sea Research Part I: Oceanographic Research Papers. 192:103902
Publikováno v:
Advances in Atmospheric Sciences. 36:313-325
Microstructure and hydrological profiles were collected along two cross-shelf sections from the deep slope to the shallow water in the north of Taiwan Island in the summer of 2006. While the tidal currents on the shelf were dominated by the barotropi
Publikováno v:
Advances in Atmospheric Sciences. 36:219-230
Horizontal velocity spirals with a clockwise rotation (downward looking) rate of 1.7° m−1, on average, were observed in the western and northern Yellow Sea from December 2006 to February 2007. With the observed thermal wind relation, the beta-spir
Autor:
Yi Du, Tengran Dong, Tao Ruan, Canghong Jin, Dexing Wu, Lei Xu, Minghui Wu, Tianyi Chen, Shuoping Wang
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
As an essential part of the modern intelligent traffic management system, traffic speed prediction is a challenging task. In recent studies, deep neural networks (LSTM and WaveNet) and graph neural networks (GCN and GNN) have been extensively investi
Autor:
Ping Chang, Hisashi Nakamura, Raffaele Montuoro, Xiaohui Ma, Xiaopei Lin, Dexing Wu, Ramalingam Saravanan, Lixin Wu
Publikováno v:
Journal of Climate. 30:1861-1880
Local and remote atmospheric responses to mesoscale SST anomalies associated with the oceanic front and eddies in the Kuroshio Extension region (KER) are studied using high- (27 km) and low-resolution (162 km) regional climate model simulations in th