Rahman Farnoosh

Orcid: 0000-0002-9058-2491

According to our database1, Rahman Farnoosh authored at least 15 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models.
BMC Bioinform., December, 2023

An approach to modeling residual life of a renewal process for reliability analysis and maintenance planning.
Comput. Ind. Eng., September, 2023

2022
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images.
J. Digit. Imaging, 2022

2021
Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data.
Int. J. Fuzzy Syst., 2021

Multi-objective Portfolio Selection Based on Skew-Normal Uncertainty Distribution and Asymmetric Entropy.
Int. J. Fuzzy Log. Intell. Syst., 2021

2018
Nonlinear autoregressive model with stochastic volatility innovations: Semiparametric and Bayesian approach.
J. Comput. Appl. Math., 2018

2017
Efficient and fast numerical method for pricing discrete double barrier option by projection method.
Comput. Math. Appl., 2017

2016
Fuzzy nonparametric regression based on an adaptive neuro-fuzzy inference system.
Neurocomputing, 2016

Removing noise in a digital image using a new entropy method based on intuitionistic fuzzy sets.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Numerical method for discrete double barrier option pricing with time-dependent parameters.
Comput. Math. Appl., 2015

2012
The Location-Scale Mixture Exponential Power Distribution: A Bayesian and Maximum Likelihood Approach.
J. Appl. Math., 2012

2009
Monte Carlo simulation for solving Fredholm integral equations.
Kybernetes, 2009

2008
Monte Carlo method for solving Fredholm integral equations of the second kind.
Appl. Math. Comput., 2008

Biological applications and numerical solution based on Monte Carlo method for a two-dimensional parabolic inverse problem.
Appl. Math. Comput., 2008

2007
Monte Carlo method via a numerical algorithm to solve a parabolic problem.
Appl. Math. Comput., 2007


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