Rahman Farnoosh

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 14

Top Topics

Tumor Detection

Fuzzy Neural Network

Top Venues

Comput. Math. Appl.

Biomed. Signal Process. Control.

Publications

Rahman Farnoosh, Fatemeh Aghagoli
A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering. Biomed. Signal Process. Control. 91 (2024)
Rahman Farnoosh, Karlo Abnoosian
A robust innovative pipeline-based machine learning framework for predicting COVID-19 in Mexican patients. Int. J. Syst. Assur. Eng. Manag. 15 (7) (2024)
J. Amiri, Rahman Farnoosh, Mohammad Hassan Behzadi
A novel dependent NTA thinning operator and generalized geometric INAR(1) process with contagious disease case studies. Commun. Stat. Simul. Comput. 53 (6) (2024)
Rahman Farnoosh, Hamidreza Noushkaran
Development of an unsupervised pseudo-deep approach for brain tumor detection in magnetic resonance images. Knowl. Based Syst. 300 (2024)
Rahman Farnoosh, Fatemeh Aghagoli
Brain magnetic resonance images segmentation via improved mixtures of factor analyzers based on dynamic co-clustering. Neurocomputing 583 (2024)
Reza Ahmadi, Zohreh Rasaei, Rahman Farnoosh
An approach to modeling residual life of a renewal process for reliability analysis and maintenance planning. Comput. Ind. Eng. 183 (2023)
Karlo Abnoosian, Rahman Farnoosh, Mohammad Hassan Behzadi
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models. BMC Bioinform. 24 (1) (2023)
Rahman Farnoosh, Hamidreza Noushkaran
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images. J. Digit. Imaging 35 (6) (2022)
Seyyed Hamed Abtahi, Gholamhossein Yari, Farhad Hosseinzadeh Lotfi, Rahman Farnoosh
Multi-objective Portfolio Selection Based on Skew-Normal Uncertainty Distribution and Asymmetric Entropy. Int. J. Fuzzy Log. Intell. Syst. 21 (1) (2021)
R. Naderkhani, M. H. Behzad, Tahereh Razzaghnia, Rahman Farnoosh
Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data. Int. J. Fuzzy Syst. 23 (5) (2021)
Arezo Hajrajabi, A. R. Yazdanian, Rahman Farnoosh
Nonlinear autoregressive model with stochastic volatility innovations: Semiparametric and Bayesian approach. J. Comput. Appl. Math. 344 (2018)
Rahman Farnoosh, Amirhossein Sobhani, Mohammad Hossein Beheshti
Efficient and fast numerical method for pricing discrete double barrier option by projection method. Comput. Math. Appl. 73 (7) (2017)
Sedigheh Danesh, Rahman Farnoosh, Tahereh Razzaghnia
Fuzzy nonparametric regression based on an adaptive neuro-fuzzy inference system. Neurocomputing 173 (2016)
Rahman Farnoosh, Mohamadtaghi Rahimi, Pranesh Kumar
Removing noise in a digital image using a new entropy method based on intuitionistic fuzzy sets. FUZZ-IEEE (2016)
Rahman Farnoosh, Amirhossein Sobhani, Hamidreza Rezazadeh, Mohammad Hossein Beheshti
Numerical method for discrete double barrier option pricing with time-dependent parameters. Comput. Math. Appl. 70 (8) (2015)
Zohreh Rahnamaei, Nader Nematollahi, Rahman Farnoosh
The Location-Scale Mixture Exponential Power Distribution: A Bayesian and Maximum Likelihood Approach. J. Appl. Math. 2012 (2012)
Rahman Farnoosh, Morteza Ebrahimi
Monte Carlo simulation for solving Fredholm integral equations. Kybernetes 38 (9) (2009)
Morteza Ebrahimi, Rahman Farnoosh, Somayeh Ebrahimi
Biological applications and numerical solution based on Monte Carlo method for a two-dimensional parabolic inverse problem. Appl. Math. Comput. 204 (1) (2008)
Rahman Farnoosh, Morteza Ebrahimi
Monte Carlo method for solving Fredholm integral equations of the second kind. Appl. Math. Comput. 195 (1) (2008)
Rahman Farnoosh, Morteza Ebrahimi
Monte Carlo method via a numerical algorithm to solve a parabolic problem. Appl. Math. Comput. 190 (2) (2007)