ARTÍCULO
TITULO

Spatial-temporal prediction of secondary compression using random field theory

Pongwit Rungbanaphan    
Yusuke Honjo    
Ikumasa Yoshida    

Resumen

No disponible

 Artículos similares

       
 
Zhihong Chang, Chunsheng Liu and Jianmin Jia    
As an important component of intelligent transportation-management systems, accurate traffic-parameter prediction can help traffic-management departments to conduct effective traffic management. Due to the nonlinearity, complexity, and dynamism of highwa... ver más
Revista: Applied Sciences

 
Jing Tian, Zilin Zhao and Zhiming Ding    
With the widespread use of the location-based social networks (LBSNs), the next point-of-interest (POI) recommendation has become an essential service, which aims to understand the user?s check-in behavior at the current moment by analyzing and mining th... ver más

 
Qinmeng Yang, Ningming Nie, Yangang Wang, Xiaojing Wu, Weihua Liu, Xiaoli Ren, Zijian Wang, Meng Wan and Rongqiang Cao    
Gross primary productivity (GPP) is an important indicator in research on carbon cycling in terrestrial ecosystems. High-accuracy GPP prediction is crucial for ecosystem health and climate change assessments. We developed a site-level GPP prediction meth... ver más
Revista: Applied Sciences

 
Yakob Umer, Victor Jetten, Janneke Ettema and Gert-Jan Steeneveld    
This study configures the Weather Research and Forecasting (WRF) model with the updated urban fraction for optimal rainfall simulation over Kampala, Uganda. The urban parameter values associated with urban fractions are adjusted based on literature revie... ver más
Revista: Hydrology

 
Tingting Wang, Zhuolin Li, Xiulin Geng, Baogang Jin and Lingyu Xu    
The accurate prediction of sea surface temperature (SST) is the basis for our understanding of local and global climate characteristics. At present, the existing sea temperature prediction methods fail to take full advantage of the potential spatial depe... ver más
Revista: Future Internet