Pushpendra Kumar
Orcid: 0000-0002-7755-2837Affiliations:
- National Institute of Technology Puducherry, India
- University of Johannesburg, Institute for the Future of Knowledge, South Africa (2020-2021)
- Central University of Punjab, Department of Mathematics and Statistics, School of Basic and Applied Sciences, Bathinda, India (2018-2020)
According to our database1,
Pushpendra Kumar
authored at least 18 papers
between 2021 and 2024.
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Bibliography
2024
A novel optimization-based physics-informed neural network scheme for solving fractional differential equations.
Eng. Comput., April, 2024
A novel method based on fractional order Gegenbauer wavelet operational matrix for the solutions of the multi-term time-fractional telegraph equation of distributed order.
Math. Comput. Simul., March, 2024
Solution of a dengue fever model via fractional natural decomposition and modified predictor-corrector methods.
Int. J. Model. Simul. Sci. Comput., February, 2024
A novel method to approximate fractional differential equations based on the theory of functional connections.
Numer. Algorithms, January, 2024
A novel L1-Predictor-Corrector method for the numerical solution of the generalized-Caputo type fractional differential equations.
Math. Comput. Simul., 2024
A Chebyshev neural network-based numerical scheme to solve distributed-order fractional differential equations.
Comput. Math. Appl., 2024
2023
A neural networks-based numerical method for the generalized Caputo-type fractional differential equations.
Math. Comput. Simul., November, 2023
A case study of monkeypox disease in the United States using mathematical modeling with real data.
Math. Comput. Simul., November, 2023
Int. J. Model. Simul. Sci. Comput., June, 2023
Adv. Eng. Softw., February, 2023
2022
Some Existence and Uniqueness Results for a Class of Fractional Stochastic Differential Equations.
Symmetry, 2022
A stochastic SIR model for analysis of testosterone suppression of CRH-stimulated cortisol in men.
Int. J. Model. Simul. Sci. Comput., 2022
Prediction studies of the epidemic peak of coronavirus disease in Japan: From Caputo derivatives to Atangana-Baleanu derivatives.
Int. J. Model. Simul. Sci. Comput., 2022
On the existence and uniqueness of a nonlinear q-difference boundary value problem of fractional order.
Int. J. Model. Simul. Sci. Comput., 2022
A Study on the 3D Hopfield Neural Network Model via Nonlocal Atangana-Baleanu Operators.
Complex., 2022
2021
Lassa hemorrhagic fever model using new generalized Caputo-type fractional derivative operator.
Int. J. Model. Simul. Sci. Comput., 2021
Int. J. Model. Simul. Sci. Comput., 2021
Int. J. Model. Simul. Sci. Comput., 2021