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رند مهند فوزي - Rand Muhaned Fawzi
MSc - lecturer
College of Education for Pure Sciences (Ibn Al-Haitham) , Department of Mathematics
[email protected]
Summary

teacher Rand Muhaned Fawzi, born in 1988, received the BS and MS of science degrees in Mathematics at the University of Baghdad. From 2017 to 2022 worked in AL-Esraa University , from 2022 till present, he is the working at department of Mathematics, college of education Ibn-AL-Haitham, University of Baghdad, Baghdad, Iraq. Her main interests are development of analytic in Clustering and data mining for practical problems in applied sciences.

Qualifications

Bsc, Msc in Mathematics/ University of Baghdad/Iraq

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التحليل العقدي
كلية التربية للعلوم الصرفة ابن الهيثم
الرياضيات
Stage 4
التحليل العقدي
كلية التربية للعلوم الصرفة ابن الهيثم
الرياضيات
Stage 4
التحليل العقدي
كلية التربية للعلوم الصرفة ابن الهيثم
الرياضيات
Stage 4
التحليل العقدي
كلية التربية للعلوم الصرفة ابن الهيثم
الرياضيات
Stage 4
التحليل العقدي
كلية التربية للعلوم الصرفة ابن الهيثم
الرياضيات
Stage 4
Publication Date
Tue Sep 08 2020
Journal Name
Baghdad Science Journal
Turbid of Water By Using Fuzzy C- Means and Hard K- Means
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In this research two algorithms are applied, the first is Fuzzy C Means (FCM) algorithm and the second is hard K means (HKM) algorithm to know which of them is better than the others these two algorithms are applied on a set of data collected  from the Ministry of Planning on the water turbidity of five areas in Baghdad to know which of these areas are less turbid in clear water to see which months during the year are less turbid in clear water in the specified area.

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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
The efficiency of cluster analysis to analyzing medical image of Covid-19 patient by using K-means algorithm
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Publication Date
Sun Apr 30 2023
Journal Name
Iraqi Journal Of Science
Numerical and Analytical Solutions of Space-Time Fractional Partial Differential Equations by Using a New Double Integral Transform Method
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  This work discusses the beginning of fractional calculus and how the Sumudu and Elzaki transforms are applied to fractional derivatives. This approach combines a double Sumudu-Elzaki transform strategy to discover analytic solutions to space-time fractional partial differential equations in Mittag-Leffler functions subject to initial and boundary conditions. Where this method gets closer and closer to the correct answer, and the technique's efficacy is demonstrated using numerical examples performed with Matlab R2015a.

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Scopus (6)
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Publication Date
Tue Mar 30 2021
Journal Name
Baghdad Science Journal
Solving Fractional Damped Burgers' Equation Approximately by Using The Sumudu Transform (ST) Method
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       In this work, the fractional damped Burger's equation (FDBE) formula    = 0,

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Scopus (8)
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Publication Date
Wed Aug 27 2025
Journal Name
Baghdad Science Journal
A Clustering Technique Based on the Hard K-Means (H.KM.) Method to Determine the Governorate That Have More Influence for Spreading COVID-19 in the Kingdom of Saudi Arabia
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Publication Date
Tue Jun 20 2023
Journal Name
Baghdad Science Journal
Numerical Solutions for the Nonlinear PDEs of Fractional Order by Using a New Double Integral Transform with Variational Iteration Method
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This paper considers a new Double Integral transform called Double Sumudu-Elzaki transform DSET. The combining of the DSET with a semi-analytical method, namely the variational iteration method DSETVIM, to arrive numerical solution of nonlinear PDEs of Fractional Order derivatives. The proposed dual method property decreases the number of calculations required, so combining these two methods leads to calculating the solution's speed. The suggested technique is tested on four problems. The results demonstrated that solving these types of equations using the DSETVIM was more advantageous and efficient

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Scopus (8)
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Publication Date
Mon Jan 01 2024
Journal Name
Results In Nonlinear Analysis
Numerical solutions for the time fractional Black-Scholes model governing European option by using double integral transform decomposition method
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