V. Govindaraj

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Stability analysis of a fractional prey-predator model with Holling type III functional response and disease in both populations.
Netw. Model. Anal. Health Informatics Bioinform.
Halet Ismail, S. Hariharan, Shangerganesh Lingeshwaran, V. Govindaraj, Ilker Ozsahin, Dilber Uzun Ozsahin, Hijaz Ahmad
2025 J jnl
Deep learning-assisted 3D model for the detection and classification of knee arthritis.
Image Vis. Comput.
D. Preethi, V. Govindaraj, S. Dhanasekar, K. Martin Sagayam, Syed Immamul Ansarullah, Farhan Amin, Isabel de la Torre Díez, Carlos Osorio Garcia, Alina Eugenia Pascual Barrera, Fehaid Salem Alshammari
2025 J jnl
Intelligent Power Estimation of Digital Circuits Using Random Forest and Neural Network Models.
Int. J. Comput. Intell. Syst.
R. Gowrishankar, V. Govindaraj, S. Sharmila Devi, C. Ramesh
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 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
On the ε-regular mild solution for fractional abstract integro-differential equations.
Soft Comput.
José Vanterler da Costa Sousa, M. Aurora P. Pulido, V. Govindaraj, E. Capelas De Oliveira
2021 J jnl
Machine Learning Based Power Estimation for CMOS VLSI Circuits.
Appl. Artif. Intell.
V. Govindaraj, Arunadevi Baladhandapani
2015 J jnl
Controllability of fractional damped dynamical systems.
Appl. Math. Comput.
Krishnan Balachandran, V. Govindaraj, Margarita Rivero, Juan J. Trujillo
2013 J jnl
Controllability Results for Nonlinear Fractional-Order Dynamical Systems.
J. Optim. Theory Appl.
Krishnan Balachandran, V. Govindaraj, Luis Rodríguez-Germá, Juan J. Trujillo