In this paper we consider $1//\sum^n_{j=1}{(E_j+T_j+C_j+U_j+V_j)}$ problem, the discussed problem is called a Multi objectives Function (MOF) problem, As objective is to find a sequence that minimizes the multiple objective ...

The wavelet shrink estimator is an attractive technique when estimating the nonparametric regression functions, but it is very sensitive in the case of a correlation in errors. In this research, a polynomial model of low ...

Due to the nature of activities and processes, the petrochemical industry causes the production of industrial effluents, emissions and wastes that have adverse effects on the environment. The purpose of this study is to ...

Most time series are characterized in practice that they consist of two components, linear and non-linear, and when making predictions, the single models are not sufficient to model these series. Recently several linear, ...

In this paper, using the potential of microgrid surface batteries, the frequency support of the power system in different operating modes was discussed. The study suggested that the process could be supported by a set of ...

This paper deals with an epidemiological system with stage-structured, harvesting and refuge for only prey, the disease of type (SIS) is just in the immature of the prey. The sufficient conditions guaranteeing the occurrence ...

Throughout this manuscript, we show time periodic solutions to a linear diffusion parabolic equation with Diriclet condition. Based on the topological degree theorem, we prove a time periodic solutions of the system such ...

In this work, we invested a kind of fuzzy soft quasi-normal operator namely fuzzy soft $\mathfrak{(n-}\widetilde{\mathcal{N}})$-quasi-normal operator this modification of fuzzy soft bounded linear quasi-normal operator ...

A new probability model for positively skewed datasets like economic data, medical, engineering and other sciences was developed in this paper. The new distribution is named the Topp-Leone Flexible Weibull distribution and ...

In this paper, some common fixed point results for four mappings satisfying generalized contractive condition in a generalized b-metric spaces are proved. Advantage of our work in comparison with studies done in the context ...

The aim of this paper is introduced some examples of a (mathbb{G})-bi-shadowing actions on the metric (mathbb{G})-space, by study a sufficient conditions of actions to be (mathbb{G})-bi-shadowing. We show the (mathbb{G}) ...

Change of measure is a very well known common criterion in both the probability rules and applications. The change of measure is a transformation from actual measure to equivalent measure. We will employ the change of ...

In this work, a general implicit block method (GIBM) with two points for solving general fifth-order initial value problems (IVPs) has been derived. GIBM is proposed by adopting the basis functions of Hermite interpolating ...

The Internet of Things (IoT) has opened a new era of technology and knowledge, several devices with limited resources are used. Those devices are vulnerable to a significant number of new malware and other emerging risks. ...

Discovering objects and knowing their number has been discussed in many works. Face detection technology is important for the visual scene, Deep learning theory using computer technology to discover the face, which is a ...

Uncertainty exists in many real-life engineering and mechanical problems. Here, we assume that uncertainties are caused by intervals of real numbers. In this paper, we consider the interval nonlinear programming (INLP) ...

Plagiarism is becoming more of a problem in academics. It's made worse by the ease with which a wide range of resources can be found on the internet, as well as the ease with which they can be copied and pasted. It is ...

In recent years, integrated reverse supply chain practices have been adopted by companies that desire to reduce the negative environmental and social impacts within their supply chains. models and solutions assisted by ...

This paper proposes a new method by hybrid Simplex Downhill Algorithm with Moment Method (SMOM) to estimate the parameters of Log-Logistic distribution based on Survival functions. Simulation is used to compare the suggested ...

Cointegration analysis is one of the most active areas in the econometrics and time series where different methods are introduced for identifying and estimating cointegration vectors in fractionally integrated time series. ...