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ORCIDAlireza Afzal Aghaei
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2020 – today
- 2024
[j6]Tayebeh Taheri, Alireza Afzal Aghaei
, Kourosh Parand:
Bridging machine learning and weighted residual methods for delay differential equations of fractional order. Appl. Soft Comput. 149(Part A): 110936 (2024)- [j5]Ali Nosrati Firoozsalari, Alireza Afzal Aghaei, Kourosh Parand:
A machine learning framework for efficiently solving Fokker-Planck equations. Comput. Appl. Math. 43(6): 389 (2024) - [j4]K. Parand, Alireza Afzal Aghaei, S. Kiani, T. Ilkhas Zadeh, Z. Khosravi:
A neural network approach for solving nonlinear differential equations of Lane-Emden type. Eng. Comput. 40(2): 953-969 (2024) - [j3]Maryam Babaei, Alireza Afzal Aghaei, Zahra Kazemi, Mahdieh Jamshidi, Reza Ghaderi, Kourosh Parand:
Solving a class of Thomas-Fermi equations: A new solution concept based on physics-informed machine learning. Math. Comput. Simul. 225: 716-730 (2024) - [i10]Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand:
Accelerating Fractional PINNs using Operational Matrices of Derivative. CoRR abs/2401.14081 (2024) - [i9]Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand:
An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations. CoRR abs/2401.14382 (2024) - [i8]Alireza Afzal Aghaei:
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions. CoRR abs/2406.07456 (2024) - [i7]Alireza Afzal Aghaei:
rKAN: Rational Kolmogorov-Arnold Networks. CoRR abs/2406.14495 (2024) - [i6]Alireza Afzal Aghaei, Mahdi Movahedian Moghaddam, Kourosh Parand:
PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems. CoRR abs/2409.01899 (2024) - [i5]Alireza Afzal Aghaei:
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations. CoRR abs/2409.03507 (2024) - [i4]Alireza Afzal Aghaei:
KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems. CoRR abs/2409.06649 (2024) - 2023
- [j2]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:
Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm. BMC Medical Imaging 23(1): 21 (2023) - [i3]Alireza Afzal Aghaei, Kourosh Parand:
Hyperparameter optimization of orthogonal functions in the numerical solution of differential equations. CoRR abs/2304.14088 (2023) - [i2]Alireza Afzal Aghaei, Kourosh Parand, Ali Nikkhah, Shakila Jaberi:
Solving Falkner-Skan type equations via Legendre and Chebyshev Neural Blocks. CoRR abs/2308.03337 (2023) - [i1]Ali Nosrati Firoozsalari, Hassan Dana Mazraeh, Alireza Afzal Aghaei, Kourosh Parand:
deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations. CoRR abs/2309.07684 (2023) - 2021
- [j1]K. Parand, Alireza Afzal Aghaei, Mostafa Jani, Ali Ghodsi:
A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression. Math. Comput. Simul. 180: 114-128 (2021)
Coauthor Index
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