in this study, the number of 1802 longevity records of ewes collected during 1989 to 2010 in breeding station of lori-bakhtiari sheep flocks were used to estimate of genetic, environmental and phenotypic trends for economic lifetime. the breeding values of a ewe’s lifetime were estimated by restricted maximum likelihood procedure under an animal model of univariate analysis. the best linear unb...

S U M M A R Y Wavelet analysis for filtering is used to improve estimation of gravity variations induced by Chandler wobble. This method eliminate noise in superconducting gravimeter (SG) records with bandpass filters derived from Daubechies wavelet. The SG records at four European stations (Brussels, Membach, Strasbourg and Vienna) are analysed in this study. First, the earth tidal constituent...

In the early visual system, a contrast gain control mechanism sets the gain of responses based on the locally prevalent contrast. The measure of contrast used by this adaptation mechanism is commonly assumed to be the standard deviation of light intensities relative to the mean (root-mean-square contrast). A number of alternatives, however, are possible. For example, the measure of contrast mig...

The paper aims to create a most efficient and accurate cab fare prediction system using machine learning algorithms comparing them. are Random forest algorithm Linear regression the r-square, mean square error (MSE), Root MSE Mean Squared Logarithmic Error (RMSLE) values. We implement linear predict prices of get best accuracy when both algorithms. should be trips before starting trip. sample s...

We consider the convergence analysis of the sign algorithm for adaptive filtering when the input processes are uncorrelated and Gaussian. Asymptotic time-averaged convergence results for the mean deviation error, mean-square deviation error, and for the signal estimation error are established. These results are shown to hold for arbitrary step size μ > 0.

XGBoost algorithm and Lasso regression compare r-square, Mean Square Error (MSE), Root MSE, RMSLE values. The should be efficient enough to produce the exact fare amount of trip before starts. sample size for implementing this work was N=10 each groups considered. It iterated 20 times accurate prediction cab price with G power in 80% threshold 0.05%, CI 95% mean standard deviation. calculation ...