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.
Bsc, Msc in Mathematics/ University of Baghdad/Iraq
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.
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.
In this work, the fractional damped Burger's equation (FDBE) formula = 0,
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