The performance of four methods for interpolation of body surface potential maps (BSPMs) for different electrode grid densities was assessed. This study is part of a research project on the influence of the variability of 12-lead electrocardiograms on computer interpretation due to small electrode position changes. Interpolated BSPMs can be used to simulate this variability. The set of BSPMs st...

Using daily observations of temperature, precipitation, radiation, and humidity from 24 stations spanning a large elevation gradient in Austria, we tested several previously defined algorithms for estimating daily radiation and humidity. The estimation algorithms were first tested independently, and then combined, resulting in a combined algorithm for estimating both radiation and humidity that...

Social commerce based on relations is developing rapidly in recent years and the personalized recommender systems make the contribution. Based on the traditional collaborative filtering (CF) algorithm, this study proposes a social recommender systems that combing preference similarity, reputation-based trust and social relations between users. Using the real data from Epinions.com, we compared ...

‎This paper has two aims. The first is forecasting inflation in Iran using Macroeconomic variables data in Iran (Inflation rate, liquidity, GDP, prices of imported goods and exchange rates) , and the second is comparing the performance of forecasting vector auto regression (VAR), Bayesian Vector-Autoregressive (BVAR), GARCH, time series and neural network models by which Iran's inflation is for...

In this paper, we present the application of the neural network for the identification of Reusable Software modules in Procedure Oriented Software System. Metrics are used for the structural analysis of the different procedures. The proposed metrics for Procedure oriented paradigm are Cyclometric Complexity Using Mc Cabe’s Measure, Halstead Software Science Indicator, Regularity Metric, Reuse f...

Depression is a major debilitating disorder which can affect people from all ages. With a continuous increase in the number of annual cases of depression, there is a need to develop automatic techniques for the detection of the presence and extent of depression. In this AVEC challenge we explore different modalities (speech, language and visual features extracted from face) to design and develo...

This paper analyzes the effect of histogram equalization on the wavelet based compression techniques. Image compression is reducing the size of an image using one of the encoding techniques. Encoding helps in saving disk space by representing the same data in lesser number of bytes. Histogram is a graphical representation of intensity distribution of an image. It expresses the number of pixel v...

In this paper, we present the application of the neural network for the identification of Reusable Software modules in Oriented Software System. Metrics are used for the structural analysis of the different procedures. The values of Metrics will become the input dataset for the neural network systems and Fuzzy Systems. Training Algorithm based on Neural Network and fuzzy clustering are experime...