Alireza Afzal Aghaei

According to our database, Alireza Afzal Aghaei authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

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