Introduction: Differentiation of benign and malignant liver tumors is very important for finding appropriate treatment procedure. Human eyes sometime are not able to diagnose the type of liver tumor. Texture analysis is considered as a suitable method to increase the diagnostic power of medical images. In this study texture analysis is employed in order to classification of ben...

The aim of this work is to examine the feasibilities of the support vector machines (SVMs) and K-nearest neighbor (K-NN) classifier methods for the classification of an aquifer in the Khuzestan Province, Iran. For this purpose, 17 groundwater quality variables including EC, TDS, turbidity, pH, total hardness, Ca, Mg, total alkalinity, sulfate, nitrate, nitrite, fluoride, phosphate, Fe, Mn, Cu, ...

the certainty assumption that is used in economic analysis, althouth is easier in analysis, may be but not logical because in most projects time is playing a key role. in this time horizon the amount of income and future costs affecting by factors that are not managable by investors and can not to be forecasted. therefore in practice usually there is a gap between forecased and real variables. ...

Data Issues and Databases Used in Analysis of Growth, Poverty and Economic Inequality This paper focuses on the importance data issues to the analysis of growth, poverty and economic inequality. We introduce a number of major databases frequently used in applied research on growth, poverty and global and international inequality. A discussion of data quality, data consistency, variable definiti...

This paper advocates computable general equilibrium (CGE) models as an analytical framework that is suitable for assessing the impacts of policy interference on the three dimensions of Sustainable Development, i.e. environmental quality, economic performance and equity. Methodological extensions of standard CGE models are illustrated that may strengthen the role of CGE models in measuring polic...

From an empirical point of view, it is difficult to distinguish between fluctuations provoked by random shocks and endogenous fluctuations determined by the nonlinear nature of the relation between economic aggregates. For this purpose, chaos tests are developed to investigate the chaotic phenomena of basic features: nonlinearity, fractal attractor, and sensitivity to initial conditions. The ap...

This paper aims to investigate the role of each aggregate spending component in the monetary policy transmission in Indonesia. It assesses the relative strength of the role of each spending component in the monetary policy transmission. In so doing, this study employs the contribution analysis, which is calculated based on the cumulative impulse response of each component of GDP to a monetary p...

The purpose of this paper is to develop an output oriented methodology for calculating productivity growth by using Malmquist productivity index (MPI) and two different data envelopment analysis (DEA) views (optimistic and pessimistic) simultaneously, and apply it to five Iranian Commercial Banks over the four time period (2009-2013). Consequently, we have proposed a new approach called the dou...

in this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape optimization. to approach this aim the analytical formulas of secant stiffness matrix are presented. the models were validated and used to perform inve...