Alireza Hosseini

1. SIGNAL RECONSTRUCTION USING NONCONVEX PENALTY FUNCTIONS

Hosseini Alireza (2024)., AICHEAS 3RD INTERNATIONAL CONFERENCE ON HEALTH, ENGINEERING AND APPLIED SCIENCES, 5-7 July, Istanbul, Turkey.

2. A PENALTY-BASED NEURAL NETWORK MODEL FOR SOLVING NONSMOOTH OPTIMIZATION PROBLEMS

Hosseini Alireza (2024)., AICHEAS 3RD INTERNATIONAL CONFERENCE ON HEALTH, ENGINEERING AND APPLIED SCIENCES, 5-7 July, Istanbul, Turkey.

3. Existence, uniqueness, and numerical approximation of solutions of a nonlinear functional integral equation

Bazm Sohrab, Hosseini Alireza, Azevedo Juarez S., Pahlevani fatemeh (2024)., JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 439(115602), 115602.

4. AN ANALOG CIRCUIT MODEL FOR SOLVING A CLASS OF NONSMOOTH OPTIMIZATION PROBLEMS

Hosseini Alireza (2024)., BALKAN 10th INTERNATIONAL CONFERENCE ON APPLIED SCIENCES, 6-7 January, Istanbul, Turkey.

1. A VARIATIONAL APPROACH BASED INTERPOLATION FOR IMAGE DEBLURRING AND DENOISING

Hosseini Alireza (2023)., Conference on Global Practice of Multidisciplinary Scientific Studies-V, 10-12 December, Baku, Azerbaijan.

2. A hybrid proximal generalized conditional gradient method and application to total variation parameter learning

Chencheneh Enis, Hosseini Alireza, Bredies Kristian (2023)., 2023 European Control Conference (ECC), 13-16 June, Bucharest, Romania.

1. The Second-Order Shannon Total Generalized Variation for Image Restoration

Hosseini Alireza, Bazm Sohrab (2022)., SIGNAL PROCESSING, 204(108848).

2. Image denoising via a new hybrid TGV model based on Shannon interpolation

Tavakkol Elaheh, حسینی سید محمد, Hosseini Alireza (2022)., Iranian Journal of Numerical Analysis and Optimization, 0(0), 1-26.

3. Modified conjugate gradient method for solving sparse recovery problem with nonconvex penalty

Aminifard Zohreh, Hosseini Alireza, Babaei-Kafaki Saman (2022)., SIGNAL PROCESSING, 193(0), 108424.

1. Numerical solution of nonlinear Volterra-Fredholm integral equations of the first kind using alternative Legendre polynomials

Bazm Sohrab, Hosseini Alireza (2021)., Journal of Mathematical Researchs, 7(3), 443-466.

2. Comparison of Primitive-Dual and Split Bergman Numerical Algorithms in Image Processing

Asadi Mohammad Bagher, Hosseini Alireza (2021)., Computing Science Journal, 22(1), 2-8.

3. SOLVING NONSMOOTH OPTIMIZATION PROBLEMS VIA CIRCUIT MODELS BASED ON RECURRENT NEURAL NETWORKS

Hosseini Alireza (2021)., 1st INTERNATIONAL CONFERENCE OF PHYSICS, 17 August, Ankara, Turkey.

4. OPTIMIZATION MODELS FOR INVERSE PROBLEMS IN IMAGE PROCESSING

Hosseini Alireza (2021)., 1st INTERNATIONAL CONFERENCE OF PHYSICS, 17 August, Ankara, Turkey.

5. Face Recognition Using Ordinary and Higher-Order Singular Value Decomposition Classifier: A Comparison Study

Salimi Hamid, Amini Seyed Morteza, Hosseini Alireza (2021)., The 51th Annual Iranian Mathematics Conference, 15-20 February, Iran.

1. A four directions variational method for solving image processing problems

Hosseini Alireza, Ebrahim esfahani Erfan (2020)., Iranian Journal of Numerical Analysis and Optimization, 10(2), 87-104.

2. Compressed MRI reconstruction exploiting a rotation-invariant total variation discretization

Ebrahim esfahani Erfan, Hosseini Alireza (2020)., MAGNETIC RESONANCE IMAGING, 71(71), 80-92.

3. THE ALTERNATIVE LEGENDRE TAU METHOD FOR SOLVING NONLINEAR MULTI-ORDER FRACTIONAL DIFFERENTIAL EQUATIONS

Bazm Sohrab, Hosseini Alireza (2020)., Journal of Applied Analysis and Computation, 10(2), 442-456.

1. A DESCENT APPROACH WITHOUT USING UNKNOWN PARAMETERS FOR SOLVING NONSMOOTH OPTIMIZATION PROBLEMS

Hosseini Alireza (2019)., Third National Seminar on Control and Optimization, 13-14 November, Sabzevar, Iran.

2. A new regularization term based on second order total generalized variation for image processing problems

Tavakkol Elaheh, Hosseini Seyyed Mohammad, Hosseini Alireza (2019)., Iranian Journal of Numerical Analysis and Optimization, 9(2), 141-163.

3. New discretization of total variation functional for image processing tasks

Hosseini Alireza (2019)., SIGNAL PROCESSING-IMAGE COMMUNICATION, 78(-), 62-76.

4. A Neurodynamic Approach to Solve a Class of Nonsmooth Constrained Optimization Problem

Ebadi Mohammad Javad, Hosseini Alireza (2019)., International Conference on Recent Achievement in Mathematical Science, 14-18 January, Yazd, Iran.

1. Matrix reconstruction by Means of Nuclear Norm Minimization

Hosseini Alireza, Lotfollah zadeh Ashkan (2018)., 49th Annual Iranian Mathematics Conference, 23-26 August, Tehran, Iran.

2. An Efficient Numerical Method Based on Variational Iteration Method for Solving the Kuramoto-Sivashinsky Equations

Hosseini Alireza (2018)., Boletim da Sociedade Paranaense de Matemática, 0(0), 1-10.

3. Neural network as a tool for solving nonsmooth optimization problems

Hosseini Alireza (2018)., Fourth International Conference on Nonlinear Analysis and Optimization, 18-20 June, Zanjan, Iran.

1. A projection type steepest descent neural network for solving a class of nonsmooth optimization problems

Ebadi Mohammad Javad, Hosseini Alireza, Hosseini Mohammad Mahdi (2017)., NEUROCOMPUTING, 235(235), 164-181.