Elzain Gumma - Academia.edu (original) (raw)

Papers by Elzain Gumma

Research paper thumbnail of Correction: Statistical Analysis of Factors Associated with Diarrhea in Yemeni Children under Five: Insights from the 2022–2023 Multiple Indicator Cluster Survey

Journal of epidemiology and global health, Jun 24, 2024

When this article was published it was not noticed that the five Footnote symbols in the Conclusi... more When this article was published it was not noticed that the five Footnote symbols in the Conclusion section had been accidentally removed. The Original Article has been corrected.

Research paper thumbnail of Latent Class Analysis: A Data Discovery Approach for Exploring Dietary Intake Patterns among Sudanese Children Aged 0 to 2

Research paper thumbnail of Multiple and Singular Soliton Solutions for Space–Time Fractional Coupled Modified Korteweg–De Vries Equations

International journal of analysis and applications, Apr 22, 2024

The focus of this paper is on the nonlinear coupled evolution equations, specifically within the ... more The focus of this paper is on the nonlinear coupled evolution equations, specifically within the context of the fractional coupled modified Korteweg-de Vries (mKdV) equation, employing the conformable fractional derivative (CFD) approach. The primary objective of this paper is to thoroughly investigate the applicability of the Hirota bilinear method for deriving analytical solutions to the fractional mKdV equations. A range of exact analytical solutions for the fractional coupled mKdV equations is obtained. The findings in general indicate that the Hirota bilinear method is an effective approach for resolving the complexities associated with the fractional coupled mKdV equations.

Research paper thumbnail of Statistical analysis for investigating determinants influencing diarrhea in Yemeni children under five: Insights from the 2022-2023 Multiple Indicator Cluster Survey

Research Square (Research Square), Apr 19, 2024

Diarrheal disease remains a signi cant cause of preventable morbidity and mortality in the pediat... more Diarrheal disease remains a signi cant cause of preventable morbidity and mortality in the pediatric population, particularly among children below ve years of age. Although the occurrence of diarrheal episodes is on the decline, its impact continues to escalate at a concerning rate among children under the age of ve, especially in developing countries. The objective of this paper is to investigate the determinants associated with diarrhea in Yemeni children younger than ve years, drawing on data from the latest edition of the Multiple Indicator Cluster Survey (MICS) Yemen conducted in 2022-2023. To investigate determinants associated with the occurrence of childhood diarrhea, bivariate analysis and multivariable logistic regression were utilized. The ndings of this study suggest that age group 6-23, unimproved sanitation, and low-income households are associated with high risk of diarrhea in children under ve years of age in Yemen. The study contributes additional evidence regarding determinants that should be prioritized in public health strategies geared towards reducing diarrheal prevalence among Yemeni children.

Research paper thumbnail of Comparative Analysis of Machine Learning Algorithms for Investigating Myocardial Infarction Complications

Engineering, Technology and Applied science research/Engineering, Technology and Applied Science Research, Feb 8, 2024

Myocardial Infarction (MI) is a condition often leading to death. It arises from inadequate blood... more Myocardial Infarction (MI) is a condition often leading to death. It arises from inadequate blood flow to the heart, therefore, the classification of MI complications contributing to lethal outcomes is essential to save lives. Machine learning algorithms provide solutions to support the categorization of the MI complication attributes and predict lethal results. This paper compares various machine learning algorithms to classify myocardial infarction complications and to predict fatal consequences. The considered algorithms are Multilayer Perceptron (MLP), Naive Bayes (NB), and Decision Tree (DT). The main objective of this paper is to compare these algorithms in two scenarios: initially using the full dataset once and then using the dataset again, after implementing the WEKA attribute selection algorithm. To accomplish this goal, data from the Krasnoyarsk Interdistrict Clinical Hospital were employed. Results in general revealed that the MLP classifier demonstrated optimal performance regarding the full MI data, whereas the DT classifier emerged as more favorable when the dataset sample size was diminished through an attribute selection algorithm.

Research paper thumbnail of A derivative-free algorithm for non-linear optimization with linear equality constraints

Optimization, Nov 17, 2019

We propose a derivative-free algorithm for solving linear equality constrained non-linear optimiz... more We propose a derivative-free algorithm for solving linear equality constrained non-linear optimization problems, named LECOA. In each iteration of the algorithm, the objective function is approximated by a quadratic model constructed from interpolation points. The choice of the points leaves some degree of freedom in the model taken up by minimizing the Frobenius norm of the change to the Hessian matrix of the model. The new iterate is generally generated by minimizing the model in a trust-region using a null space truncated conjugate gradient method. Numerical results are presented which show that the proposed algorithm competes against some algorithms in the literature. Experiments show that starting with the point that minimizes the infinity norm subject to the linear equality constraints gives excellent results. A limittype global convergence of the proposed algorithm is proved under some reasonable assumptions.

Research paper thumbnail of A derivative-free algorithm for linearly constrained optimization problems

Computational Optimization and Applications, Oct 3, 2013

Research paper thumbnail of A derivative-free algorithm for non-linear optimization with linear equality constraints

Optimization, 2019

We propose a derivative-free algorithm for solving linear equality constrained non-linear optimiz... more We propose a derivative-free algorithm for solving linear equality constrained non-linear optimization problems, named LECOA. In each iteration of the algorithm, the objective function is approximated by a quadratic model constructed from interpolation points. The choice of the points leaves some degree of freedom in the model taken up by minimizing the Frobenius norm of the change to the Hessian matrix of the model. The new iterate is generally generated by minimizing the model in a trust-region using a null space truncated conjugate gradient method. Numerical results are presented which show that the proposed algorithm competes against some algorithms in the literature. Experiments show that starting with the point that minimizes the infinity norm subject to the linear equality constraints gives excellent results. A limittype global convergence of the proposed algorithm is proved under some reasonable assumptions.

Research paper thumbnail of Solution of Moving Boundary Space-Time Fractional Burger’s Equation

Journal of Applied Mathematics, 2014

The fractional Riccati expansion method is used to solve fractional differential equations with v... more The fractional Riccati expansion method is used to solve fractional differential equations with variable coefficients. To illustrate the effectiveness of the method, the moving boundary space-time fractional Burger’s equation is studied. The obtained solutions include generalized trigonometric and hyperbolic function solutions. Among these solutions, some are found for the first time. The linear and periodic moving boundaries for the kink solution of the Burger’s equation are presented graphically and discussed.

Research paper thumbnail of A survey on line search deritive- free algorithms for solving systems of nonlinear eguations

Khartoum : international University of Africa - Dean ship of Graduate Studies & Scientific Research & publication, Jun 1, 2017

Research paper thumbnail of Solution of Moving Boundary Space-Time Fractional Burger's Equation

The fractional Riccati expansion method is used to solve fractional differential equations with v... more The fractional Riccati expansion method is used to solve fractional differential equations with variable coefficients. To illustrate the effectiveness of the method, the moving boundary space-time fractional Burger's equation is studied. The obtained solutions include generalized trigonometric and hyperbolic function solutions. Among these solutions, some are found for the first time. The linear and periodic moving boundaries for the kink solution of the Burger's equation are presented graphically and discussed.

Research paper thumbnail of A derivative-free algorithm for linearly constrained optimization problems

Your article is protected by copyright and all rights are held exclusively by Springer Science +B... more Your article is protected by copyright and all rights are held exclusively by Springer Science +Business Media New York. This e-offprint is for personal use only and shall not be selfarchived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com".

Research paper thumbnail of Analytical solution of nonlinear space–time fractional differential equations using the improved fractional Riccati expansion method

Ain Shams Engineering Journal, 2014

ABSTRACT In this paper, the improved fractional Riccati expansion method is proposed to solve fra... more ABSTRACT In this paper, the improved fractional Riccati expansion method is proposed to solve fractional differential equations. The method is applied to solve space–time fractional modified Korteweg–de Vries equation, space–time fractional modified regularized long-wave equation, time fractional biological population model, and space–time fractional Klein–Gordon equation. The obtained solutions include generalized trigonometric and hyperbolic functions solutions. Among these solutions, some are found for the first time.

Research paper thumbnail of Analytical solution of nonlinear space–time fractional differential equations using the improved fractional Riccati expansion method

Ain Shams Engineering Journal, 2014

ABSTRACT In this paper, the improved fractional Riccati expansion method is proposed to solve fra... more ABSTRACT In this paper, the improved fractional Riccati expansion method is proposed to solve fractional differential equations. The method is applied to solve space–time fractional modified Korteweg–de Vries equation, space–time fractional modified regularized long-wave equation, time fractional biological population model, and space–time fractional Klein–Gordon equation. The obtained solutions include generalized trigonometric and hyperbolic functions solutions. Among these solutions, some are found for the first time.

Research paper thumbnail of Correction: Statistical Analysis of Factors Associated with Diarrhea in Yemeni Children under Five: Insights from the 2022–2023 Multiple Indicator Cluster Survey

Journal of epidemiology and global health, Jun 24, 2024

When this article was published it was not noticed that the five Footnote symbols in the Conclusi... more When this article was published it was not noticed that the five Footnote symbols in the Conclusion section had been accidentally removed. The Original Article has been corrected.

Research paper thumbnail of Latent Class Analysis: A Data Discovery Approach for Exploring Dietary Intake Patterns among Sudanese Children Aged 0 to 2

Research paper thumbnail of Multiple and Singular Soliton Solutions for Space–Time Fractional Coupled Modified Korteweg–De Vries Equations

International journal of analysis and applications, Apr 22, 2024

The focus of this paper is on the nonlinear coupled evolution equations, specifically within the ... more The focus of this paper is on the nonlinear coupled evolution equations, specifically within the context of the fractional coupled modified Korteweg-de Vries (mKdV) equation, employing the conformable fractional derivative (CFD) approach. The primary objective of this paper is to thoroughly investigate the applicability of the Hirota bilinear method for deriving analytical solutions to the fractional mKdV equations. A range of exact analytical solutions for the fractional coupled mKdV equations is obtained. The findings in general indicate that the Hirota bilinear method is an effective approach for resolving the complexities associated with the fractional coupled mKdV equations.

Research paper thumbnail of Statistical analysis for investigating determinants influencing diarrhea in Yemeni children under five: Insights from the 2022-2023 Multiple Indicator Cluster Survey

Research Square (Research Square), Apr 19, 2024

Diarrheal disease remains a signi cant cause of preventable morbidity and mortality in the pediat... more Diarrheal disease remains a signi cant cause of preventable morbidity and mortality in the pediatric population, particularly among children below ve years of age. Although the occurrence of diarrheal episodes is on the decline, its impact continues to escalate at a concerning rate among children under the age of ve, especially in developing countries. The objective of this paper is to investigate the determinants associated with diarrhea in Yemeni children younger than ve years, drawing on data from the latest edition of the Multiple Indicator Cluster Survey (MICS) Yemen conducted in 2022-2023. To investigate determinants associated with the occurrence of childhood diarrhea, bivariate analysis and multivariable logistic regression were utilized. The ndings of this study suggest that age group 6-23, unimproved sanitation, and low-income households are associated with high risk of diarrhea in children under ve years of age in Yemen. The study contributes additional evidence regarding determinants that should be prioritized in public health strategies geared towards reducing diarrheal prevalence among Yemeni children.

Research paper thumbnail of Comparative Analysis of Machine Learning Algorithms for Investigating Myocardial Infarction Complications

Engineering, Technology and Applied science research/Engineering, Technology and Applied Science Research, Feb 8, 2024

Myocardial Infarction (MI) is a condition often leading to death. It arises from inadequate blood... more Myocardial Infarction (MI) is a condition often leading to death. It arises from inadequate blood flow to the heart, therefore, the classification of MI complications contributing to lethal outcomes is essential to save lives. Machine learning algorithms provide solutions to support the categorization of the MI complication attributes and predict lethal results. This paper compares various machine learning algorithms to classify myocardial infarction complications and to predict fatal consequences. The considered algorithms are Multilayer Perceptron (MLP), Naive Bayes (NB), and Decision Tree (DT). The main objective of this paper is to compare these algorithms in two scenarios: initially using the full dataset once and then using the dataset again, after implementing the WEKA attribute selection algorithm. To accomplish this goal, data from the Krasnoyarsk Interdistrict Clinical Hospital were employed. Results in general revealed that the MLP classifier demonstrated optimal performance regarding the full MI data, whereas the DT classifier emerged as more favorable when the dataset sample size was diminished through an attribute selection algorithm.

Research paper thumbnail of A derivative-free algorithm for non-linear optimization with linear equality constraints

Optimization, Nov 17, 2019

We propose a derivative-free algorithm for solving linear equality constrained non-linear optimiz... more We propose a derivative-free algorithm for solving linear equality constrained non-linear optimization problems, named LECOA. In each iteration of the algorithm, the objective function is approximated by a quadratic model constructed from interpolation points. The choice of the points leaves some degree of freedom in the model taken up by minimizing the Frobenius norm of the change to the Hessian matrix of the model. The new iterate is generally generated by minimizing the model in a trust-region using a null space truncated conjugate gradient method. Numerical results are presented which show that the proposed algorithm competes against some algorithms in the literature. Experiments show that starting with the point that minimizes the infinity norm subject to the linear equality constraints gives excellent results. A limittype global convergence of the proposed algorithm is proved under some reasonable assumptions.

Research paper thumbnail of A derivative-free algorithm for linearly constrained optimization problems

Computational Optimization and Applications, Oct 3, 2013

Research paper thumbnail of A derivative-free algorithm for non-linear optimization with linear equality constraints

Optimization, 2019

We propose a derivative-free algorithm for solving linear equality constrained non-linear optimiz... more We propose a derivative-free algorithm for solving linear equality constrained non-linear optimization problems, named LECOA. In each iteration of the algorithm, the objective function is approximated by a quadratic model constructed from interpolation points. The choice of the points leaves some degree of freedom in the model taken up by minimizing the Frobenius norm of the change to the Hessian matrix of the model. The new iterate is generally generated by minimizing the model in a trust-region using a null space truncated conjugate gradient method. Numerical results are presented which show that the proposed algorithm competes against some algorithms in the literature. Experiments show that starting with the point that minimizes the infinity norm subject to the linear equality constraints gives excellent results. A limittype global convergence of the proposed algorithm is proved under some reasonable assumptions.

Research paper thumbnail of Solution of Moving Boundary Space-Time Fractional Burger’s Equation

Journal of Applied Mathematics, 2014

The fractional Riccati expansion method is used to solve fractional differential equations with v... more The fractional Riccati expansion method is used to solve fractional differential equations with variable coefficients. To illustrate the effectiveness of the method, the moving boundary space-time fractional Burger’s equation is studied. The obtained solutions include generalized trigonometric and hyperbolic function solutions. Among these solutions, some are found for the first time. The linear and periodic moving boundaries for the kink solution of the Burger’s equation are presented graphically and discussed.

Research paper thumbnail of A survey on line search deritive- free algorithms for solving systems of nonlinear eguations

Khartoum : international University of Africa - Dean ship of Graduate Studies & Scientific Research & publication, Jun 1, 2017

Research paper thumbnail of Solution of Moving Boundary Space-Time Fractional Burger's Equation

The fractional Riccati expansion method is used to solve fractional differential equations with v... more The fractional Riccati expansion method is used to solve fractional differential equations with variable coefficients. To illustrate the effectiveness of the method, the moving boundary space-time fractional Burger's equation is studied. The obtained solutions include generalized trigonometric and hyperbolic function solutions. Among these solutions, some are found for the first time. The linear and periodic moving boundaries for the kink solution of the Burger's equation are presented graphically and discussed.

Research paper thumbnail of A derivative-free algorithm for linearly constrained optimization problems

Your article is protected by copyright and all rights are held exclusively by Springer Science +B... more Your article is protected by copyright and all rights are held exclusively by Springer Science +Business Media New York. This e-offprint is for personal use only and shall not be selfarchived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com".

Research paper thumbnail of Analytical solution of nonlinear space–time fractional differential equations using the improved fractional Riccati expansion method

Ain Shams Engineering Journal, 2014

ABSTRACT In this paper, the improved fractional Riccati expansion method is proposed to solve fra... more ABSTRACT In this paper, the improved fractional Riccati expansion method is proposed to solve fractional differential equations. The method is applied to solve space–time fractional modified Korteweg–de Vries equation, space–time fractional modified regularized long-wave equation, time fractional biological population model, and space–time fractional Klein–Gordon equation. The obtained solutions include generalized trigonometric and hyperbolic functions solutions. Among these solutions, some are found for the first time.

Research paper thumbnail of Analytical solution of nonlinear space–time fractional differential equations using the improved fractional Riccati expansion method

Ain Shams Engineering Journal, 2014

ABSTRACT In this paper, the improved fractional Riccati expansion method is proposed to solve fra... more ABSTRACT In this paper, the improved fractional Riccati expansion method is proposed to solve fractional differential equations. The method is applied to solve space–time fractional modified Korteweg–de Vries equation, space–time fractional modified regularized long-wave equation, time fractional biological population model, and space–time fractional Klein–Gordon equation. The obtained solutions include generalized trigonometric and hyperbolic functions solutions. Among these solutions, some are found for the first time.