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Mohsen Esmaeilbeigi
Mohsen Esmaeilbeigi
Associate Professor of Applied Mathematics , Malayer University
Email verificata su malayeru.ac.ir
Titolo
Citata da
Citata da
Anno
Optimal variable shape parameters using genetic algorithm for radial basis function approximation
F Afiatdoust, M Esmaeilbeigi
Ain Shams Engineering Journal 6 (2), 639-647, 2015
582015
A new approach based on the genetic algorithm for finding a good shape parameter in solving partial differential equations by Kansa’s method
M Esmaeilbeigi, MM Hosseini
Applied Mathematics and Computation 249, 419-428, 2014
432014
A RBF partition of unity collocation method based on finite difference for initial–boundary value problems
G Garmanjani, R Cavoretto, M Esmaeilbeigi
Computers & Mathematics with Applications 75 (11), 4066-4090, 2018
362018
A new approach of the radial basis functions method for telegraph equations
M Esmaeilbeigi, MM Hosseini, ST Mohyud-Din
International Journal of Physical Sciences 6 (6), 1517-1527, 2011
252011
Copula-based probabilistic assessment of intensity and duration of cold episodes: A case study of Malayer vineyard region
O Chatrabgoun, R Karimi, A Daneshkhah, S Abolfathi, H Nouri, ...
Agricultural and Forest Meteorology 295, 108150, 2020
242020
Dynamic node adaptive strategy for nearly singular problems on large domains
M Esmaeilbeigi, MM Hosseini
Engineering analysis with boundary elements 36 (9), 1311-1321, 2012
212012
A meshfree method for solving multidimensional linear Fredholm integral equations on the hypercube domains
M Esmaeilbeigi, F Mirzaee, D Moazami
Applied Mathematics and Computation 298, 236-246, 2017
192017
A low cost and highly accurate technique for big data spatial-temporal interpolation
M Esmaeilbeigi, O Chatrabgoun, A Hosseinian-Far, R Montasari, ...
Applied Numerical Mathematics 153, 492-502, 2020
172020
Radial basis functions method for solving three-dimensional linear Fredholm integral equations on the cubic domains
M Esmaeilbeigi, F Mirzaee, D Moazami
Iranian Journal of Numerical Analysis and Optimization 7 (2), 15-38, 2017
152017
Numerical solution of time-dependent stochastic partial differential equations using RBF partition of unity collocation method based on finite difference
M Esmaeilbeigi, O Chatrabgoun, M Shafa
Engineering Analysis with Boundary Elements 104, 120-134, 2019
112019
Gaussian radial basis function interpolant for the different data sites and basis centers
M Esmaeilbeigi, G Garmanjani
Calcolo 54 (1), 155-166, 2017
102017
Stable likelihood computation for machine learning of linear differential operators with Gaussian processes
O Chatrabgoun, M Esmaeilbeigi, M Cheraghi, A Daneshkhah
International Journal for Uncertainty Quantification 12 (3), 2022
72022
Approximate solution of the fuzzy fractional Bagley-Torvik equation by the RBF collocation method
M Esmaeilbeigi, M Paripour, G Garmanjani
Computational Methods for Differential Equations 6 (2), 186-214, 2018
72018
Fractional Hermite interpolation using RBFs in high dimensions over irregular domains with application
M Esmaeilbeigi, O Chatrabgoun, M Cheraghi
Journal of Computational Physics 375, 1091-1120, 2018
62018
Predicting primary sequence-based protein-protein interactions using a mercer series representation of nonlinear support vector machine
O Chatrabgoun, A Daneshkhah, M Esmaeilbeigi, NS Safa, AH Alenezi, ...
IEEE Access 10, 124345-124354, 2022
52022
A shift‐adaptive meshfree method for solving a class of initial‐boundary value problems with moving boundaries in one‐dimensional domain
M Esmaeilbeigi, G Garmanjani
Numerical Methods for Partial Differential Equations 32 (6), 1622-1646, 2016
52016
A novel hybrid trust region algorithm based on nonmonotone and LOOCV techniques
M Ahmadvand, M Esmaeilbeigi, A Kamandi, FM Yaghoobi
Computational Optimization and Applications 72, 499-524, 2019
42019
Scattered data fitting of Hermite type by a weighted meshless method
M Esmaeilbeigi, O Chatrabgoun, M Shafa
Advances in Computational Mathematics 44, 673-691, 2018
42018
On the impact of prior distributions on efficiency of sparse Gaussian process regression
M Esmaeilbeigi, O Chatrabgoun, A Daneshkhah, M Shafa
Engineering with Computers 39 (4), 2905-2925, 2023
32023
Hybrid kernel approach to improving the numerical stability of machine learning for parametric equations with Gaussian processes in the noisy and noise-free data assumptions
M Esmaeilbeigi, M Cheraghi
Engineering with Computers, 1-34, 2023
32023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20