Sivalingam S. M

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Constrained physics informed deep implicit neural network for ordinary and partial differential equations.
Math. Comput. Simul.
Sivalingam S. M, Govindaraj Venkatesan, Shruti Dubey
2025 J jnl
L1-predictor-corrector method for ψ-Caputo type fractional differential equations.
Comput. Appl. Math.
Sivalingam S. M, V. Govindaraj, José Vanterler da Costa Sousa, Ahmed S. Hendy
2025 J jnl
Neural fractional order differential equations.
Expert Syst. Appl.
Sivalingam S. M, V. Govindaraj
2025 J jnl
Spectral coefficient learning physics informed neural network for time-dependent fractional parametric differential problems.
CoRR
Sivalingam S. M, V. Govindaraj, Ahmed S. Hendy
2024 J jnl
A Chebyshev neural network-based numerical scheme to solve distributed-order fractional differential equations.
Comput. Math. Appl.
Sivalingam S. M, Pushpendra Kumar, V. Govindaraj
2024 J jnl
A novel L1-Predictor-Corrector method for the numerical solution of the generalized-Caputo type fractional differential equations.
Math. Comput. Simul.
Sivalingam S. M, Pushpendra Kumar, Hieu Trinh, Govindaraj Venkatesan
2024 J jnl
A novel method to approximate fractional differential equations based on the theory of functional connections.
Numer. Algorithms
Sivalingam S. M, Pushpendra Kumar, V. Govindaraj
2024 J jnl
A novel numerical approach for time-varying impulsive fractional differential equations using theory of functional connections and neural network.
Expert Syst. Appl.
Sivalingam S. M, V. Govindaraj
2024 J jnl
A novel optimization-based physics-informed neural network scheme for solving fractional differential equations.
Eng. Comput.
Sivalingam S. M, Pushpendra Kumar, V. Govindaraj
2023 J jnl
A case study of monkeypox disease in the United States using mathematical modeling with real data.
Math. Comput. Simul.
Pushpendra Kumar, Madasamy Vellappandi, Zareen A. Khan, Sivalingam S. M, Anthony Kaziboni, Govindaraj Venkatesan
2023 J jnl
A neural networks-based numerical method for the generalized Caputo-type fractional differential equations.
Math. Comput. Simul.
Sivalingam S. M, Pushpendra Kumar, Govindaraj Venkatesan
2023 J jnl
The hybrid average subtraction and standard deviation based optimizer.
Adv. Eng. Softw.
Sivalingam S. M, Pushpendra Kumar, Govindaraj Venkatesan