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Neural Network Model Assessment for Side-Channel Analysis
Side-Channel Analysis Neural Networks Model Assessment
2019/6/19
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...
GRADUAL OPTIMIZATION OF URBAN FIRE STATION LOCATIONS BASED ON GEOGRAPHICAL NETWORK MODEL
Fire Station Gradual Optimization Coverage Areas Geographical Network
2015/8/10
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...
A neural network model of learning mathematical equivalence
Cognitive development mathematical equivalence problem solving neural network model
2015/6/23
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...
CHEMICAL INFORMATION BASED ELASTIC NETWORK MODEL: A NOVEL WAY TO IDENTIFICATION OF VIBRAION FREQUENCIES IN PROTEINS
CHEMICAL INFORMATION BASED ELASTIC NETWORK MODEL IDENTIFICATION VIBRATION FREQUENCIES PROTEINS
2014/10/23
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...
Distribution Of Wealth In A Network Model Of The Economy
Distribution Of Wealth A Network Model The Economy
2012/9/14
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...
Influences of variables on ship collision probability in a Bayesian belief network model
Maritime accidents Bayesian networks Sensitivity analysis Mutual information Causation probability
2012/4/15
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...
Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam
non-generalized neural network model multi-lead inflow
2011/3/15
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...
On the Existence of the MLE for a Directed Random Graph Network Model with Reciprocation
Algebraic statistics Dyadic independence Exponential random graph model
2010/10/14
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...
Assessment of earthquake-triggered landslide susceptibility in El Salvador based on an Artificial Neural Network model
Assessment earthquake-triggered landslide susceptibility El Salvador based Artificial Neural Network model
2010/10/20
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...
Continuous-time quantum walks on the threshold network model
quantum walks threshold network model
2010/3/10
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...
分形多孔介质孔道网络模型的构建（Construction of Pore Network Model of Fractal Porous Media）
干燥 多孔介质 孔道网络 分形
2009/11/24
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。
Total ozone time series analysis:a neural network model approach
Total ozone time series analysis neural network model approach
2009/11/11
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...
Watershed Bounded Network Model (WBNM) for Runoff Prediction of Large Basins
Watershed Bounded Network Model Runoff Prediction Large Basins
2009/10/28
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...
A Multi-mode, Multi-class Dynamic Network Model With Queues For Advanced Transportation Information Systems
Multi-class Dynamic Network Model Advanced Transportation Information Systems Queues
2009/9/29
In this paper we propose a composite Variational Inequality formulation for modeling multi-mode, multi-class stochastic dynamic user equilibrium problem in recurrent congestion networks with queues. T...