Rahman Farnoosh

According to our database, Rahman Farnoosh authored at least 20 papers between 2007 and 2024.

Collaborative distances:

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

2024

A robust innovative pipeline-based machine learning framework for predicting COVID-19 in Mexican patients.

Rahman Farnoosh, Karlo Abnoosian

Int. J. Syst. Assur. Eng. Manag., July, 2024

A novel dependent NTA thinning operator and generalized geometric INAR(1) process with contagious disease case studies.

J. Amiri, Rahman Farnoosh, Mohammad Hassan Behzadi

Commun. Stat. Simul. Comput., June, 2024

Development of an unsupervised pseudo-deep approach for brain tumor detection in magnetic resonance images.

Rahman Farnoosh, Hamidreza Noushkaran

Knowl. Based Syst., 2024

Brain magnetic resonance images segmentation via improved mixtures of factor analyzers based on dynamic co-clustering.

Rahman Farnoosh, Fatemeh Aghagoli

Neurocomputing, 2024

A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering.

Rahman Farnoosh, Fatemeh Aghagoli

Biomed. Signal Process. Control., 2024

2023

Prediction of diabetes disease using an ensemble of machine learning multi-classifier models.

Karlo Abnoosian, Rahman Farnoosh, Mohammad Hassan Behzadi

BMC Bioinform., December, 2023

An approach to modeling residual life of a renewal process for reliability analysis and maintenance planning.

Reza Ahmadi, Zohreh Rasaei, Rahman Farnoosh

Comput. Ind. Eng., September, 2023

2022

Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images.

Rahman Farnoosh, Hamidreza Noushkaran

J. Digit. Imaging, 2022

2021

Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data.

R. Naderkhani, Mohammad Hassan Behzadi, Tahereh Razzaghnia, Rahman Farnoosh

Int. J. Fuzzy Syst., 2021

Multi-objective Portfolio Selection Based on Skew-Normal Uncertainty Distribution and Asymmetric Entropy.

Seyyed Hamed Abtahi, Gholamhossein Yari, Farhad Hosseinzadeh Lotfi, Rahman Farnoosh

Int. J. Fuzzy Log. Intell. Syst., 2021

2018

Nonlinear autoregressive model with stochastic volatility innovations: Semiparametric and Bayesian approach.

Arezo Hajrajabi, A. R. Yazdanian, Rahman Farnoosh

J. Comput. Appl. Math., 2018

2017

Efficient and fast numerical method for pricing discrete double barrier option by projection method.

Rahman Farnoosh, Amirhossein Sobhani, Mohammad Hossein Beheshti

Comput. Math. Appl., 2017

2016

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

Sedigheh Danesh, Rahman Farnoosh, Tahereh Razzaghnia

Neurocomputing, 2016

Removing noise in a digital image using a new entropy method based on intuitionistic fuzzy sets.

Rahman Farnoosh, Mohamadtaghi Rahimi, Pranesh Kumar

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Numerical method for discrete double barrier option pricing with time-dependent parameters.

Rahman Farnoosh, Amirhossein Sobhani, Hamidreza Rezazadeh, Mohammad Hossein Beheshti

Comput. Math. Appl., 2015

2012

The Location-Scale Mixture Exponential Power Distribution: A Bayesian and Maximum Likelihood Approach.

Zohreh Rahnamaei, Nader Nematollahi, Rahman Farnoosh

J. Appl. Math., 2012

2009

Monte Carlo simulation for solving Fredholm integral equations.

Rahman Farnoosh, Morteza Ebrahimi

Kybernetes, 2009

2008

Monte Carlo method for solving Fredholm integral equations of the second kind.

Rahman Farnoosh, Morteza Ebrahimi

Appl. Math. Comput., 2008

Biological applications and numerical solution based on Monte Carlo method for a two-dimensional parabolic inverse problem.

Morteza Ebrahimi, Rahman Farnoosh, Somayeh Ebrahimi

Appl. Math. Comput., 2008

2007

Monte Carlo method via a numerical algorithm to solve a parabolic problem.

Rahman Farnoosh, Morteza Ebrahimi

Appl. Math. Comput., 2007