In recent years, artificial intelligence (AI) technology has been applied in different research fields. this study, the XGBoost regression model is proposed to estimate JT9D engine thrust. The performance mean absolute error (MAE) 0.004845, mean-squared (MSE) 0.000161, and coefficient of determination (R2) values training, validation, testing subsets are 0.99, 0.98, respectively. Based on a sen...

Small area estimation is conventionally concerned with the estimation of small area averages and totals. More recently emphasis has been also placed on the estimation of poverty indicators and of key quantiles of the small area distribution function using robust models for example, the M-quantile small area model (Chambers and Tzavidis, 2006). In parallel to point estimation, Mean Squared Error...

We propose two time delay estimators for known symbol padding (KSP) orthogonal frequency division multiplexing (OFDM) in a multipath fading environment. Both estimators make use of pilot symbols in the guard interval and known pilot carriers and take the frequency selectivity of the channel into account. The performance of the estimators is illustrated by means of simulation results for the mea...

This paper presents the performance evaluation of eight focus measure operators namely Image CURV (Curvature), GRAE (Gradient Energy), HISE (Histogram Entropy), LAPM (Modified Laplacian), LAPV (Variance of Laplacian), LAPD (Diagonal Laplacian), LAP3 (Laplacian in 3D Window) and WAVS (Sum of Wavelet Coefficients). Statistical matrics such as MSE (Mean Squared Error), PNSR (Peak Signal to Noise R...

In this paper, a relationship between Linear Discriminant Analysis (LDA) and the generalized Minimum Squared Error (MSE) solution is presented. The generalized MSE solution is shown to be equivalent to applying a certain classification rule in the space defined by LDA. The relationship between the MSE solution and Fisher Discriminant Analysis (FDA) is extended to multi-class problems and also t...

In this paper, a blind detection method is proposed to evaluate the information that can be drawn from the received phase shift keying (PSK) signals without channel knowledge at the receiver. First, we develop a method to determine the decision regions for detecting PSK symbols based on the maximum a posterior (MAP) criterion. Then, to reduce the numerical complexity, an approximated MAP criter...

A simple but effective multiframe demosaicking method is proposed. Its primary goal is to replace more expensive mechanical motion compensation systems. Therefore, it is designed to be easily implemented in hardware for consumer devices. The described multiframe demosaicking algorithm is suitable for mass production devices such as mobile phones or digital cameras. It is compared to a multifram...

In this paper, we have studied the estimation of parameters under failure censored data using step stress partially accelerated life testing. The lifetimes of test items are assumed to follow Mukherjee-Islam distribution. The estimation of different parameters and acceleration factor are obtained by Maximum Likelihood Method. Relative absolute bias (RAB), mean squared error (MSE), relative erro...

We derive the form of variance-covariance matrix for any affine equivariant matrix-valued statistics when sampling from complex elliptical distributions. then use this result to sample covariance (SCM) as well its theoretical mean squared error (MSE) finite fourth-order moments exist. Finally, illustrative examples formulas are presented.

A model of Adaptive Neuro-Fuzzy Inference System (ANFIS) trained with an evolutionary algorithm, namely Genetic Algorithm (GA) is presented in this paper. Further, the tested on NASDAQ stock market indices which among most widely followed United States. Empirical results show that by determining parameters ANFIS (premise and consequent parameters) using GA, we can improve performance terms Mean...