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:
Collaborative distances:
Timeline
2021
2022
2023
2024
2025
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2025
Neurocomputing, 2025
2024
Bridging machine learning and weighted residual methods for delay differential equations of fractional order.
Appl. Soft Comput., December, 2024
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
An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations.
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
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