Sivalingam S. M

According to our database, Sivalingam S. M authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A novel optimization-based physics-informed neural network scheme for solving fractional differential equations.

Sivalingam S. M, Pushpendra Kumar, V. Govindaraj

Eng. Comput., April, 2024

A novel numerical approach for time-varying impulsive fractional differential equations using theory of functional connections and neural network.

Sivalingam S. M, V. Govindaraj

Expert Syst. Appl., March, 2024

A novel method to approximate fractional differential equations based on the theory of functional connections.

Sivalingam S. M, Pushpendra Kumar, V. Govindaraj

Numer. Algorithms, January, 2024

A novel L1-Predictor-Corrector method for the numerical solution of the generalized-Caputo type fractional differential equations.

Sivalingam S. M, Pushpendra Kumar, Hieu Trinh, Govindaraj Venkatesan

Math. Comput. Simul., 2024

A Chebyshev neural network-based numerical scheme to solve distributed-order fractional differential equations.

Sivalingam S. M, Pushpendra Kumar, V. Govindaraj

Comput. Math. Appl., 2024

2023

A neural networks-based numerical method for the generalized Caputo-type fractional differential equations.

Sivalingam S. M, Pushpendra Kumar, Govindaraj Venkatesan

Math. Comput. Simul., November, 2023

A case study of monkeypox disease in the United States using mathematical modeling with real data.

Pushpendra Kumar, Madasamy Vellappandi, Zareen A. Khan, Sivalingam S. M, Anthony Kaziboni, Govindaraj Venkatesan

Math. Comput. Simul., November, 2023

The hybrid average subtraction and standard deviation based optimizer.

Sivalingam S. M, Pushpendra Kumar, Govindaraj Venkatesan

Adv. Eng. Softw., February, 2023