Husham M. Ahmed
Research Subjects
Husham M. Ahmed has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Ali Ateeq
Administrative Science Department, College of Administrative and Financial Science, Gulf University
2 shared publications - Lina S. Calucag
Department of Mathematics and Science, University of Technology Bahrain, Salmabad 8041, Bahrain
2 shared publications - Raed Alnimer
Royal University for Women
2 shared publications - Al-Baraa Abdulrahman Al-Mekhlafi
Faculty of Leadership and Management, University Sains Islam Malaysia USIM, Nilai 71800, Malaysia
1 shared publication - Ali Nasser Al-Tahitah
Ministry of Higher Education and Scientific Research, Human Resource Management Department, Republic of Yemen, Aden, Yemen
1 shared publication - Anjan Biswas
Department of Mathematics and Physics, Grambling State University, Grambling, LA 71245, USA
1 shared publication
Latest Publications
- Open Access
A Novel Neural Network-Based Symbolic Approach for Shallow-Water Waves with Surface Tension
This paper examines the sixth-order generalized Boussinesq equation, which describes the dynamics of shallow-water waves, including the effects of surface tension. The study introduces Kudryashov’s R-function neural network approach for the first time, aiming to provide exact solutions to the nonlinear differential equation that represents the mathematical model of the sixth-order generalized Boussinesq equation. This technique incorporates the solutions of a nonlinear differential equation into neural networks, using them as an activation function within the hidden layer. In line with previous research on this topic, two categories of solutions are derived: solitary wave and shock wave solutions. Additionally, this paper includes 3D and 2D graphs to visually represent the solutions obtained.
Open AccessA Novel Neural Network-Based Symbolic Approach for Shallow-Water Waves with Surface Tension
This paper examines the sixth-order generalized Boussinesq equation, which describes the dynamics of shallow-water waves, including the effects of surface tension. The study introduces Kudryashov’s R-function neural network approach for the first time, aiming to provide exact solutions to the nonlinear differential equation that represents the mathematical model of the sixth-order generalized Boussinesq equation. This technique incorporates the solutions of a nonlinear differential equation into neural networks, using them as an activation function within the hidden layer. In line with previous research on this topic, two categories of solutions are derived: solitary wave and shock wave solutions. Additionally, this paper includes 3D and 2D graphs to visually represent the solutions obtained.
- 2 January 2026
- Published by Springer Nature
- p. 615-623
Proposed Model to Enhance Employability for Married Muslim Women in Malaysia’s Business Sector
- 2 January 2026
- Published by Springer Nature
- p. 615-623
Proposed Model to Enhance Employability for Married Muslim Women in Malaysia’s Business Sector
- 2 January 2026
- Published by Springer Nature
- p. 1003-1014
Critical Factors Leading to Workplace Deviance: A Comprehensive Analysis First
- 2 January 2026
- Published by Springer Nature
- p. 1003-1014
Critical Factors Leading to Workplace Deviance: A Comprehensive Analysis First
- 25 December 2024
- Published by Springer Nature
- p. 1213-1223
Air Conditioning Condensate: A Potential Water Source for Irrigation
- 25 December 2024
- Published by Springer Nature
- p. 1213-1223
Air Conditioning Condensate: A Potential Water Source for Irrigation
- 25 December 2024
- Published by Springer Nature
- p. 1197-1212
Strengthening the Research-Teaching Nexus: Exploring Students’ Expectations of Research-Informed Teaching Approaches
- 25 December 2024
- Published by Springer Nature
- p. 1197-1212
Strengthening the Research-Teaching Nexus: Exploring Students’ Expectations of Research-Informed Teaching Approaches