V. Govindaraj

According to our database, V. Govindaraj authored at least 13 papers between 2013 and 2025.

Collaborative distances:

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

2025

Intelligent Power Estimation of Digital Circuits Using Random Forest and Neural Network Models.

R. Gowrishankar, V. Govindaraj, S. Sharmila Devi, C. Ramesh

Int. J. Comput. Intell. Syst., December, 2025

L1-predictor-corrector method for ψ-Caputo type fractional differential equations.

Sivalingam S. M, V. Govindaraj, José Vanterler da Costa Sousa, Ahmed S. Hendy

Comput. Appl. Math., July, 2025

Spectral coefficient learning physics informed neural network for time-dependent fractional parametric differential problems.

Sivalingam S. M, V. Govindaraj, Ahmed S. Hendy

CoRR, March, 2025

Deep learning-assisted 3D model for the detection and classification of knee arthritis.

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

Image Vis. Comput., 2025

Neural fractional order differential equations.

Sivalingam S. M, V. Govindaraj

Expert Syst. Appl., 2025

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 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

On the ε-regular mild solution for fractional abstract integro-differential equations.

José Vanterler da Costa Sousa, M. Aurora P. Pulido, V. Govindaraj, E. Capelas De Oliveira

Soft Comput., November, 2023

2021

Machine Learning Based Power Estimation for CMOS VLSI Circuits.

V. Govindaraj, Arunadevi Baladhandapani

Appl. Artif. Intell., 2021

2015

Controllability of fractional damped dynamical systems.

Krishnan Balachandran, V. Govindaraj, Margarita Rivero, Juan J. Trujillo

Appl. Math. Comput., 2015

2013

Controllability Results for Nonlinear Fractional-Order Dynamical Systems.

Krishnan Balachandran, V. Govindaraj, Luis Rodríguez-Germá, Juan J. Trujillo

J. Optim. Theory Appl., 2013