Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it is essential to develop techniques to attenuate the impact of noise, while maintaining the integrity of relevant information in images. We propose in this work to extend the a...

The empirical likelihood method is a versatile approach for testing hypotheses and constructing confidence regions in a non-parametric setting. For testing the value of a vector mean, the empirical likelihood method offers the benefit of making no distributional assumptions beyond some mild moment conditions. However, in small samples or high dimensions the method is very poorly calibrated, pro...

Digital watermarking technique has been presented and widely researched to solve some important issues in the digital world, such as copyright protection, copy protection, and content authentication. Conventional watermarking algorithms are mostly based on discrete cosine transform (DCT), discrete Fourier transform (DFT), and discrete wavelet transform (DWT). Most of these algorithms are design...

This paper presents a novel algorithm for density estimation which is based on the support vector machines (SVM) approach and it uses the Mean Field (MF) theory for developing an easy and efficient learning procedure for the SVM. The traditional formulation of the SVM density estimation decomposes the parameters of the problem into a quadratic optimization which can be solved using standard opt...

We developed a multivariate moving average control chart to monitor the mean vector of a multivariate process in this study. The proposed chart is based on Hotelling’s 2 T statistic. A simulation study is conducted to evaluate the average run length performance of the proposed chart. The proposed chart performs better than Hotelling’s 2 T chart, 2 T chart with runs rules and the synthetic 2 T c...

Groundwater pollution by nitrate is a worldwide problem. To evaluate the performance of fuzzy regression method and support vector machines (SVM) for estimating the nitrate concentration, an analysis was conducted. In this research, 175 observation wells in Isfahan province, Iran, were selected and the concentration of nitrate, potassium, magnesium, sodium, chlorine, bicarbonate, sulphate, calc...

Robust and accurate pupil detection is a prerequisite for gaze detection. Hence, we propose a new eye/pupil detection method for gaze detection on a large display. The novelty of our research can be summarized by the following four points. First, in order to overcome the performance limitations of conventional methods of eye detection, such as adaptive boosting (Adabo...

Abstract: This study proposes a novel fault diagnosis method that is based on empirical wavelet transform (EWT) and kernel density estimation classifier (KDEC), which can well diagnose fault type of the rolling element bearings. With the proposed fault diagnosis method, the vibration signal of rolling element bearing was firstly decomposed into a series of F modes by EWT, and the root mean squa...