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People with autism spectrum disorder interpret facial expressions differently. Researchers have revealed more about how this comes to be. They induced abnormalities into a neural network model to expl...
Leakage assessment of cryptographic implementations with side-channel analysis relies on two important assumptions: leakage model and the number of side-channel traces. In the context of profiled side...
Many problems existed in the planning of urban fire station locations in China. Based on geographical network model and GIS, this paper proposes a method for gradual optimization of fire station locat...
The typical structure of equations influences how we learn the meaning of the equal sign. Previous studies have shown that as students gain experience with addition problems, they actually perform wor...
A novel method of analysis of macromolecules has been worked upon through this research. In an effort to understand the dynamics of macromolecules and to further our knowledge, pertaining specifically...
We show, analytically and numerically, that wealth distribution in the Bouchaud-Mezard network model of the economy is described by a three-parameter generalized inverse gamma distribution. In the mea...
The influences of the variables in a Bayesian belief network model for estimating the role of human factors on ship collision probability in the Gulf of Finland are studied for discovering the variabl...
Artificial neural networks (ANN) have been found efficient, particularly in problems where characteristics of the processes are stochastic and difficult to describe using explicit mathematical models....
We present a network model in which words over a specific alphabet, called {\it structures}, are associated to each node and undirected edges are added depending on some distance between different st...
Holland and Leinhardt (1981) proposed a directed random graph model, the p1 model, to describe dyadic interactions in a social network. In previous work (Petrovic et al., 2010), we studied the algebra...
This paper presents an approach for assessing earthquake-triggered landslide susceptibility using artificial neural networks (ANNs). The computational method used for the training process is a back-pr...
It is well known that many real world networks have the power-law degree distribution (scale-free property). However there are no rigorous results for continuous-time quantum walks on such realistic g...
采用压汞试验获得实际多孔介质的微观结构参数。以冻干马铃薯为例计算了孔隙分形维数,结果表明冻干马铃薯结构具有显著的分形特性。运用位似变换理论、分形理论、Voronoi图以及马铃薯的特征参数等,构建出与马铃薯结构参数相对应的二维分形孔道网络模型。构建的网络模型考虑了影响多孔介质干燥的孔道微细结构特征,模型参数能够很好地反映多孔物料的微观结构,且获得了合理的分形维数。
This work is focused on the application of neural network based models to the analysis of total ozone (TO) time series. Processes that affect total ozone are extremely non linear, especially at the co...
Applicability of a nonlinear version of the watershed bounded network model (WBNM) for large basins namely Shellbyville (1,246 km2), Columbia (3,129 km2), Centreville (5,304 kmz) and Hurricane Mills...

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