|
|
|
Shuyi Zhou, Brandon J. Bethel, Wenjin Sun, Yang Zhao, Wenhong Xie and Changming Dong
Wave forecasts, though integral to ocean engineering activities, are often conducted using computationally expensive and time-consuming numerical models with accuracies that are blunted by numerical-model-inherent limitations. Additionally, artificial ne...
ver más
|
|
|
|
|
|
|
CHANGMING YANG, MARIYE MEHARI, YULAI WANG, YAQIONG WU, SHUO SHEN
Pág. Page:87 - 95Abstract
|
|
|
|
|
|
|
Dan Yang, Cancan Yi, Zengbin Xu, Yi Zhang, Mao Ge and Changming Liu
To solve the problem of multi-fault blind source separation (BSS) in the case that the observed signals are under-determined, a novel approach for single channel blind source separation (SCBSS) based on the improved tensor-based singular spectrum analysi...
ver más
|
|
|
|
|
|
|
Moyuan Yang, Yan-Fang Sang, Changming Liu, Zhonggen Wang
Pág. 1 - 11
The combination of wavelet analysis methods with data-driven models is a prevalent approach to conducting hydrological time series forecasting, but the results are affected by the accuracy of the wavelet decomposition of the series. The choice of decompo...
ver más
|
|
|
|