Alireza Afzal Aghaei

24 papers Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A new Chebyshev operational matrix formulation of least-squares support vector regression for solving fractional integro-differential equations. J. Comput. Appl. Math. Alireza Afzal Aghaei, Armin Ghasem Nejad, Sohrabali Yousefi, Kourosh Parand
2026	J	`jnl`	rKAN: Rational Kolmogorov-Arnold networks. Neural Networks Alireza Afzal Aghaei, Mehdi Hosseinzadeh, Kourosh Parand
2025	J	`jnl`	A new kernel-based approach for solving general fractional (integro)-differential-algebraic equations. Eng. Comput. Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
2025	J	`jnl`	KANtrol: a physics-informed Kolmogorov-Arnold network framework for solving multi-dimensional and fractional optimal control problems. Eng. Comput. Alireza Afzal Aghaei
2025	J	`jnl`	Personalized Control for Lower Limb Prosthesis Using Kolmogorov-Arnold Networks. CoRR Seyed Mojtaba Mohasel, Alireza Afzal Aghaei, Corey A. Pew
2025	J	`jnl`	TabKAN: Advancing Tabular Data Analysis using Kolmograv-Arnold Network. CoRR Ali Eslamian, Alireza Afzal Aghaei, Qiang Cheng
2025	J	`jnl`	The periodic Sinc kernel: Theoretical design and applications in machine learning and scientific computing. Appl. Soft Comput. Alireza Afzal Aghaei
2025	J	`jnl`	fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions. Neurocomputing Alireza Afzal Aghaei
2024	J	`jnl`	A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations. CoRR Alireza Afzal Aghaei
2024	J	`jnl`	A machine learning framework for efficiently solving Fokker-Planck equations. Comput. Appl. Math. Ali Nosrati Firoozsalari, Alireza Afzal Aghaei, Kourosh Parand
2024	J	`jnl`	A neural network approach for solving nonlinear differential equations of Lane-Emden type. Eng. Comput. K. Parand, Alireza Afzal Aghaei, S. Kiani, T. Ilkhas Zadeh, Z. Khosravi
2024	J	`jnl`	Accelerating Fractional PINNs using Operational Matrices of Derivative. CoRR Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
2024	J	`jnl`	An Orthogonal Polynomial Kernel-Based Machine Learning Model for Differential-Algebraic Equations. CoRR Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
2024	J	`jnl`	Bridging machine learning and weighted residual methods for delay differential equations of fractional order. Appl. Soft Comput. Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh Parand
2024	J	`jnl`	KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems. CoRR Alireza Afzal Aghaei
2024	J	`jnl`	PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems. CoRR Alireza Afzal Aghaei, Mahdi Movahedian Moghaddam, Kourosh Parand
2024	J	`jnl`	Solving a class of Thomas-Fermi equations: A new solution concept based on physics-informed machine learning. Math. Comput. Simul. Maryam Babaei, Alireza Afzal Aghaei, Zahra Kazemi, Mahdieh Jamshidi, Reza Ghaderi, Kourosh Parand
2024	J	`jnl`	fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions. CoRR Alireza Afzal Aghaei
2024	J	`jnl`	rKAN: Rational Kolmogorov-Arnold Networks. CoRR Alireza Afzal Aghaei
2023	J	`jnl`	Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm. BMC Medical Imaging 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
2023	J	`jnl`	Hyperparameter optimization of orthogonal functions in the numerical solution of differential equations. CoRR Alireza Afzal Aghaei, Kourosh Parand
2023	J	`jnl`	Solving Falkner-Skan type equations via Legendre and Chebyshev Neural Blocks. CoRR Alireza Afzal Aghaei, Kourosh Parand, Ali Nikkhah, Shakila Jaberi
2023	J	`jnl`	deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations. CoRR Ali Nosrati Firoozsalari, Hassan Dana Mazraeh, Alireza Afzal Aghaei, Kourosh Parand
2021	J	`jnl`	A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression. Math. Comput. Simul. K. Parand, Alireza Afzal Aghaei, Mostafa Jani, Ali Ghodsi