Alireza Afzal Aghaei

Orcid: 0000-0001-9505-819X

According to our database1, Alireza Afzal Aghaei authored at least 16 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
2025
0
5
10
1
10
4
1

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Online presence:

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Bibliography

2025
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions.
Neurocomputing, 2025

2024
Bridging machine learning and weighted residual methods for delay differential equations of fractional order.
Appl. Soft Comput., December, 2024

A machine learning framework for efficiently solving Fokker-Planck equations.
Comput. Appl. Math., September, 2024

A neural network approach for solving nonlinear differential equations of Lane-Emden type.
Eng. Comput., April, 2024

Solving a class of Thomas-Fermi equations: A new solution concept based on physics-informed machine learning.
Math. Comput. Simul., 2024

KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems.
CoRR, 2024

A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations.
CoRR, 2024

PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems.
CoRR, 2024

rKAN: Rational Kolmogorov-Arnold Networks.
CoRR, 2024

An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations.
CoRR, 2024

Accelerating Fractional PINNs using Operational Matrices of Derivative.
CoRR, 2024

2023
Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm.
BMC Medical Imaging, December, 2023

deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations.
CoRR, 2023

Solving Falkner-Skan type equations via Legendre and Chebyshev Neural Blocks.
CoRR, 2023

Hyperparameter optimization of orthogonal functions in the numerical solution of differential equations.
CoRR, 2023

2021
A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression.
Math. Comput. Simul., 2021


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