Alireza Afzal Aghaei

Mehdi Hosseinzadeh

Neural Networks, 2026

A new Chebyshev operational matrix formulation of least-squares support vector regression for solving fractional integro-differential equations.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2026

2025

KANtrol: a physics-informed Kolmogorov-Arnold network framework for solving multi-dimensional and fractional optimal control problems.

[BibT_eX]

[DOI]

Eng. Comput., October, 2025

Personalized Control for Lower Limb Prosthesis Using Kolmogorov-Arnold Networks.

[BibT_eX]

[DOI]

Seyed Mojtaba Mohasel

Corey A. Pew

CoRR, May, 2025

A new kernel-based approach for solving general fractional (integro)-differential-algebraic equations.

[BibT_eX]

[DOI]

Eng. Comput., April, 2025

TabKAN: Advancing Tabular Data Analysis using Kolmograv-Arnold Network.

[BibT_eX]

[DOI]

Ali Eslamian

Qiang Cheng

CoRR, April, 2025

fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions.

[BibT_eX]

[DOI]

Neurocomputing, 2025

The periodic Sinc kernel: Theoretical design and applications in machine learning and scientific computing.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2025

2024

Bridging machine learning and weighted residual methods for delay differential equations of fractional order.

[BibT_eX]

[DOI]

Appl. Soft Comput., December, 2024

A machine learning framework for efficiently solving Fokker-Planck equations.

[BibT_eX]

[DOI]

Ali Nosrati Firoozsalari

Comput. Appl. Math., September, 2024

A neural network approach for solving nonlinear differential equations of Lane-Emden type.

[BibT_eX]

[DOI]

Eng. Comput., April, 2024

Solving a class of Thomas-Fermi equations: A new solution concept based on physics-informed machine learning.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2024

A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2024

PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems.

[BibT_eX]

[DOI]

Mahdi Movahedian Moghaddam

CoRR, 2024

rKAN: Rational Kolmogorov-Arnold Networks.

[BibT_eX]

[DOI]

CoRR, 2024

An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations.

[BibT_eX]

[DOI]

CoRR, 2024

Accelerating Fractional PINNs using Operational Matrices of Derivative.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm.

[BibT_eX]

[DOI]

BMC Medical Imaging, December, 2023

deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations.

[BibT_eX]

[DOI]

Ali Nosrati Firoozsalari

Hassan Dana Mazraeh

CoRR, 2023

Solving Falkner-Skan type equations via Legendre and Chebyshev Neural Blocks.

[BibT_eX]

[DOI]

CoRR, 2023

Hyperparameter optimization of orthogonal functions in the numerical solution of differential equations.

[BibT_eX]

[DOI]