Alireza Afzal Aghaei

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Differential Equations

Top Venues

Math. Comput. Simul.

BMC Medical Imaging

Publications

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 (2024)
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) (2024)
Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations. CoRR (2024)
Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
Accelerating Fractional PINNs using Operational Matrices of Derivative. CoRR (2024)
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) (2024)
Alireza Afzal Aghaei
rKAN: Rational Kolmogorov-Arnold Networks. CoRR (2024)
Alireza Afzal Aghaei
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions. CoRR (2024)
Ali Nosrati Firoozsalari, Hassan Dana Mazraeh, Alireza Afzal Aghaei, Kourosh Parand
deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations. CoRR (2023)
Alireza Afzal Aghaei, Kourosh Parand, Ali Nikkhah, Shakila Jaberi
Solving Falkner-Skan type equations via Legendre and Chebyshev Neural Blocks. CoRR (2023)
Alireza Afzal Aghaei, Kourosh Parand
Hyperparameter optimization of orthogonal functions in the numerical solution of differential equations. CoRR (2023)
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) (2023)
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 (2021)