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ORCIDSivalingam S. M
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2020 – today
- 2024
[j8]Sivalingam S. M
, Pushpendra Kumar, V. Govindaraj:
A Chebyshev neural network-based numerical scheme to solve distributed-order fractional differential equations. Comput. Math. Appl. 164: 150-165 (2024)- [j7]Sivalingam S. M, V. Govindaraj:
A novel numerical approach for time-varying impulsive fractional differential equations using theory of functional connections and neural network. Expert Syst. Appl. 238(Part C): 121750 (2024) - [j6]Sivalingam S. M, Pushpendra Kumar, V. Govindaraj:
A novel optimization-based physics-informed neural network scheme for solving fractional differential equations. Eng. Comput. 40(2): 855-865 (2024) - [j5]Sivalingam S. M, Pushpendra Kumar, Hieu Trinh, Govindaraj Venkatesan:
A novel L1-Predictor-Corrector method for the numerical solution of the generalized-Caputo type fractional differential equations. Math. Comput. Simul. 220: 462-480 (2024) - [j4]Sivalingam S. M, Pushpendra Kumar, V. Govindaraj:
A novel method to approximate fractional differential equations based on the theory of functional connections. Numer. Algorithms 95(1): 527-549 (2024) - 2023
- [j3]Sivalingam S. M, Pushpendra Kumar, Govindaraj Venkatesan:
The hybrid average subtraction and standard deviation based optimizer. Adv. Eng. Softw. 176: 103387 (2023) - [j2]Sivalingam S. M, Pushpendra Kumar, Govindaraj Venkatesan:
A neural networks-based numerical method for the generalized Caputo-type fractional differential equations. Math. Comput. Simul. 213: 302-323 (2023) - [j1]Pushpendra Kumar, Madasamy Vellappandi, Zareen A. Khan, Sivalingam S. M, Anthony Kaziboni, Govindaraj Venkatesan:
A case study of monkeypox disease in the United States using mathematical modeling with real data. Math. Comput. Simul. 213: 444-465 (2023)
Coauthor Index
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