Abdelfatah Mustafa Mohamed Elsayed

Abdelfatah Mustafa Mohamed Elsayed

Mansoura University

H-index: 15

Africa-Egypt

Professor Information

University

Mansoura University

Position

Prof. of Statistics and Computer Science Mathematics DepartmentFaculty of Science Egypt.

Citations(all)

740

Citations(since 2020)

420

Cited By

619

hIndex(all)

15

hIndex(since 2020)

10

i10Index(all)

27

i10Index(since 2020)

12

Email

University Profile Page

Mansoura University

Research & Interests List

Statistics and Computer Science

Probability

Top articles of Abdelfatah Mustafa Mohamed Elsayed

Improving the Performance of a Series-Parallel System Based on Gamma Distribution

In this article, the performance of a series-parallel system is improved. The system components are assumed to follows independently and identically Lindley distributed with three parameters. The system reliability for the given system will be improved by using reduction method, hot, cold and imperfect duplication method. Some reliability measures are derived. Two types of reliability equivalence factors and gamma fractiles are calculated. A numerical example is introduced to explain the theoretical results.

Authors

Abdelfattah Mustafa,MI Khan,Maher A Alraddadi

Journal

Appl. Math

Published Date

2023

Extended power hazard rate distribution and its application

A new model four-parameter model called the odd generalized exponential power hazard rate (OGE-PHR) distribution has been introduced. Some statistical properties for OGE-PHR are obtained. The moments, quantile, mode, reliability, and order statistics are discussed. Estimation of parameters, maximum likelihood technique is employed. Two real data sets are discussed with applications.

Authors

Abdelfattah Mustafa

Journal

Operations Research and Decisions

Published Date

2024

Semi-Analytical Analysis of Drug Diffusion through a Thin Membrane Using the Differential Quadrature Method

The primary goal of this work is to solve the problem of drug diffusion through a thin membrane using a differential quadrature approach with drastically different shape functions, such as Lagrange interpolation and discrete singular convolution (the delta Lagrange kernel and the regularized Shannon kernel). A nonlinear partial differential equation with two time- and space-dependent variables governs the system. To reduce the two independent variables by one, the partial differential equation is transformed into an ordinary differential equation using a one-parameter group transformation. With the aid of the iterative technique, the differential quadrature methods change this equation into an algebraic equation. Then, using a MATLAB program, a code is created that solves this equation for each shape function. To ensure the validity, efficiency, and accuracy of the developed techniques, the computed results are compared to previous numerical and analytical solutions. In addition, the L∞ error is applied. As a consequence of the numerical outcomes, the differential quadrature method, which is primarily based on a discrete singular convolution shape function, is an effective numerical method that can be used to solve the problem of drug diffusion through a thin membrane, guaranteeing a higher accuracy, faster convergence, and greater reliability than other techniques.

Authors

Abdelfattah Mustafa,Reda S Salama,Mokhtar Mohamed

Journal

Mathematics

Published Date

2023/7/5

Powered Inverse Rayleigh Distribution Using DUS Transformation

This article reports an extension of powered inverse Rayleigh distribution via DUS transformation, named DUS-Powered Inverse Rayleigh (DUS-PIR) distribution. Some statistical properties of suggested distribution in particular, moments, mode, quantiles, order statistics, entropy, inequality measures and stress-strength parameter have been investigated extensively. To estimate the parameters, maximum likelihood estimation (MLE) is discussed. The model superiority is verified through two real datasets.

Authors

MI Khan,Abdelfattah Mustafa

Journal

International Journal of Analysis and Applications

Published Date

2023/7/3

Analysis of Generalized Nonlinear Quadrature for Novel Fractional-Order Chaotic Systems Using Sinc Shape Function

This paper introduces the generalized fractional differential quadrature method, which is based on the generalized Caputo type and is used for the first time to solve nonlinear fractional differential equations. One of the effective shape functions of this method is the Cardinal Sine shape function, which is used in combination with the fractional operator of the generalized Caputo kind to convert nonlinear fractional differential equations into a nonlinear algebraic system. The nonlinearity problem is then solved using an iterative approach. Numerical results for a variety of chaotic systems are introduced using the MATLAB program and compared with previous theoretical and numerical results to ensure their reliability, convergence, accuracy, and efficiency. The fractional parameters play an effective role in studying the proposed problems. The achieved solutions prove the viability of the presented method and demonstrate that this method is easy to implement, effective, highly accurate, and appropriate for studying fractional differential equations emerging in fields related to chaotic systems and generalized Caputo-type fractional problems in the future.

Authors

Abdelfattah Mustafa,Reda S Salama,Mokhtar Mohamed

Journal

Mathematics

Published Date

2023/4/19

Length Biased Extended Rayleigh Distribution and its Applications

The generalization of the Rayleigh distribution has been introduced by several authors in recent years. In this article, generalization of Rayleigh distribution has been derived by length-biased transformer technique named length biased Rayleigh-Rayleigh distribution.(LB-RRD). The statistical properties of LB-RRD have been formulated. Estimation of parameter is carried out by method of maximum likelihood. Three data sets are taken to show the superiority of LB-RRD with other competing distributions.

Authors

Abdelfattah Mustafa,MI Khan

Journal

Journal of Modern Applied Statistical Methods

Published Date

2023/11/11

Distinctive Shape Functions of Fractional Differential Quadrature for Solving Two-Dimensional Space Fractional Diffusion Problems

The aim of this study is to utilize a differential quadrature method with various kernels, such as Lagrange interpolation and discrete singular convolution, to tackle problems related to the Riesz fractional diffusion equation and the Riesz fractional advection–dispersion equation. The governing equation for convection and diffusion depends on both spatial and transient factors. By using the block marching technique, we transform these equations into an algebraic system using differential quadrature methods and the Caputo-type fractional operator. Next, we develop a MATLAB program that generates code capable of solving the fractional convection–diffusion equation in (1+2) dimensions for each shape function. Our goal is to ensure that our methods are reliable, accurate, efficient, and capable of convergence. To achieve this, we conduct two experiments, comparing the numerical and graphical results with both analytical and numerical solutions. Additionally, we evaluate the accuracy of our findings using the L∞ error. Our tests show that the differential quadrature method, which relies mainly on the discrete singular convolution shape function, is a highly effective numerical approach for fractional convective diffusion problems. It offers superior accuracy, faster convergence, and greater reliability than other techniques. Furthermore, we study the impact of fractional order derivatives, velocity, and positive diffusion parameters on the results.

Authors

Abdelfattah Mustafa,Ola Ragb,Mohamed Salah,Reda S Salama,Mokhtar Mohamed

Journal

Fractal and Fractional

Published Date

2023/9/4

Scientific African

The advent of anthropogenic global warming and widespread modification of the climate, landscape and environment has brought humans to the fore as a formidable force of nature. The terrestrial and aquatic environment of the East African region is sensitive to a variety of global, regional and local stresses. The geological materials along East Africa coasts, lakes and peats are excellent archives of environmental and climatic changes. The study of their sedimentary records has contributed to our understanding of global environmental and ecosystem changes induced by anthropogenic activities associated with the “Anthropocene”, the proposed new geological epoch in Earth history. Humans have occupied East Africa for thousands of years, but until about 300 years ago, their impact on the environment was localized and transitory. The impacts intensified during the 19th century due to rapid population growth and extension and intensification of agriculture that was largely driven by colonists; during this period, the overprinting of natural environmental changes by humans is clear, marked by significant changes in sedimentation, sediment properties, and lake water quality as a consequence of land and water degradation and overexploitation of terrestrial and aquatic ecosystem goods and services. Related impacts include changes in terrestrial and aquatic ecosystems and associated biodiversity losses. There have been temporal and spatial lags in the changes, depending on locality, but there is a widespread convergence of these effects from the mid-1900s, support the Anthropocene Working Group’s proposed date of 1950 as the start of the …

Authors

Eric O Odada,Daniel O Olago,Lydia A Olaka

Published Date

2020

Professor FAQs

What is Abdelfatah Mustafa Mohamed Elsayed's h-index at Mansoura University?

The h-index of Abdelfatah Mustafa Mohamed Elsayed has been 10 since 2020 and 15 in total.

What are Abdelfatah Mustafa Mohamed Elsayed's research interests?

The research interests of Abdelfatah Mustafa Mohamed Elsayed are: Statistics and Computer Science, Probability

What is Abdelfatah Mustafa Mohamed Elsayed's total number of citations?

Abdelfatah Mustafa Mohamed Elsayed has 740 citations in total.

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