Aims: We have developed a new approach to the study of human heart rate, which is based on use vector rhythmocardiosignal, includes as its component classical rhythmocardiosignal in form sequence cycle durations an electrocardiogram. Background: Most modern automated rate analysis systems are statistical rhythmocardiogram, ordered set R-R interval recorded However, this not very informative, si...

the purpose of research was analysis of innovation management in processing and complementary industriesof livestock products. the method of research was correlative descriptive. the statistical population of this study was all managers in processing and complementary industriesof livestock products of khouzestan province (n=486). the sampling method was stratified random sampling. the sample s...

today, with the advanced statistical techniques and neural networks, predictive models of distribution have been rapidly developed in ecology. purpose of this research is to predict and map the distribution of tetranychus urticae koch (acari: tetranychidae) using mlp neural networks combined with genetic algorithm in surface of farm. population data of pest was obtained in 2016 by sampling in 1...

This chapter presents a computer-assisted method for facial reconstruction. This method provides an estimation of the facial outlook associated with unidentified skeletal remains. Current computer-assisted methods using a statistical framework rely on a common set of points extracted form the bone and softtissue surfaces. Facial reconstruction then attempts to predict the position of the soft-t...

Abstract Retrieving weather extremes from observations is critical for forecasting and climate impact studies. Statistical machine learning methods are increasingly popular in the remote sensing community. However, these models act as regression tools when dealing with problems such, they not always well-suited estimation of extreme states. This study firstly introduces two error types that ari...