Alireza Afzal Aghaei

According to our database, Alireza Afzal Aghaei authored at least 21 papers between 2021 and 2026.

Collaborative distances:

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

2026

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

Alireza Afzal Aghaei, Armin Ghasem Nejad, Sohrabali Yousefi, Kourosh Parand

J. Comput. Appl. Math., 2026

2025

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

Seyed Mojtaba Mohasel, Alireza Afzal Aghaei, Corey A. Pew

CoRR, May, 2025

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

Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand

Eng. Comput., April, 2025

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

Ali Eslamian, Alireza Afzal Aghaei, Qiang Cheng

CoRR, April, 2025

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

Alireza Afzal Aghaei

Neurocomputing, 2025

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

Alireza Afzal Aghaei

Appl. Soft Comput., 2025

2024

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

Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand

Appl. Soft Comput., December, 2024

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

Ali Nosrati Firoozsalari, Alireza Afzal Aghaei, Kourosh Parand

Comput. Appl. Math., September, 2024

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

K. Parand, Alireza Afzal Aghaei, S. Kiani, T. Ilkhas Zadeh, Z. Khosravi

Eng. Comput., April, 2024

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

Maryam Babaei, Alireza Afzal Aghaei, Zahra Kazemi, Mahdieh Jamshidi, Reza Ghaderi, Kourosh Parand

Math. Comput. Simul., 2024

KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems.

Alireza Afzal Aghaei

CoRR, 2024

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

Alireza Afzal Aghaei

CoRR, 2024

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

Alireza Afzal Aghaei, Mahdi Movahedian Moghaddam, Kourosh Parand

CoRR, 2024

rKAN: Rational Kolmogorov-Arnold Networks.

Alireza Afzal Aghaei

CoRR, 2024

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

Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand

CoRR, 2024

Accelerating Fractional PINNs using Operational Matrices of Derivative.

Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand

CoRR, 2024

2023

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

Jamshid Saeidian, Tahereh Mahmoudi, Hamid Riazi-Esfahani, Zahra Montazeriani, Alireza Khodabande, Mohammad Zarei, Nazanin Ebrahimiadib, Behzad Jafari, Alireza Afzal Aghaei, Hossein Azimi, Elias Khalili Pour

BMC Medical Imaging, December, 2023

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

Ali Nosrati Firoozsalari, Hassan Dana Mazraeh, Alireza Afzal Aghaei, Kourosh Parand

CoRR, 2023

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

Alireza Afzal Aghaei, Kourosh Parand, Ali Nikkhah, Shakila Jaberi

CoRR, 2023

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

Alireza Afzal Aghaei, Kourosh Parand

CoRR, 2023

2021

A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression.

K. Parand, Alireza Afzal Aghaei, Mostafa Jani, Ali Ghodsi

Math. Comput. Simul., 2021