Rahman Farnoosh

26 papers B 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An innovative computer-based approach for automated preprocessing, enhancement, and pectoral muscle simulation of raw digital mammogram images. Eng. Appl. Artif. Intell. Rahman Farnoosh, Fatemeh Aghagoli
2025	J	`jnl`	BoostingCNNSOS hybrid model for house price forecasting based on SOS optimization. Neural Comput. Appl. Mehdi Farahzadi, Rahman Farnoosh, Mohammad Hassan Behzadi
2025	J	`jnl`	Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for UAV-Based Wildlife Protection. CoRR Mazyar Taghavi, Rahman Farnoosh
2025	J	`jnl`	Pseudo-deep unsupervised model-based clustering for brain tumor detection in magnetic resonance images. Appl. Soft Comput. Rahman Farnoosh, Fatemeh Aghagoli
2025	J	`jnl`	Quantum computing and neuromorphic computing for safe, reliable, and explainable multi-agent reinforcement learning: optimal control in autonomous robotics. Iran J. Comput. Sci. Mazyar Taghavi, Rahman Farnoosh
2025	J	`jnl`	UTLAM: Unsupervised Two-Level Adapting Model for Alzheimer's Disease Classification. Comput. Rahman Farnoosh, Juman Abdulateef
2024	J	`jnl`	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. Rahman Farnoosh, Fatemeh Aghagoli
2024	J	`jnl`	A novel dependent NTA thinning operator and generalized geometric INAR(1) process with contagious disease case studies. Commun. Stat. Simul. Comput. J. Amiri, Rahman Farnoosh, Mohammad Hassan Behzadi
2024	J	`jnl`	A robust innovative pipeline-based machine learning framework for predicting COVID-19 in Mexican patients. Int. J. Syst. Assur. Eng. Manag. Rahman Farnoosh, Karlo Abnoosian
2024	J	`jnl`	Brain magnetic resonance images segmentation via improved mixtures of factor analyzers based on dynamic co-clustering. Neurocomputing Rahman Farnoosh, Fatemeh Aghagoli
2024	J	`jnl`	Development of an unsupervised pseudo-deep approach for brain tumor detection in magnetic resonance images. Knowl. Based Syst. Rahman Farnoosh, Hamidreza Noushkaran
2023	J	`jnl`	An approach to modeling residual life of a renewal process for reliability analysis and maintenance planning. Comput. Ind. Eng. Reza Ahmadi, Zohreh Rasaei, Rahman Farnoosh
2023	J	`jnl`	Prediction of diabetes disease using an ensemble of machine learning multi-classifier models. BMC Bioinform. Karlo Abnoosian, Rahman Farnoosh, Mohammad Hassan Behzadi
2022	J	`jnl`	Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images. J. Digit. Imaging Rahman Farnoosh, Hamidreza Noushkaran
2021	J	`jnl`	Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data. Int. J. Fuzzy Syst. R. Naderkhani, Mohammad Hassan Behzadi, Tahereh Razzaghnia, Rahman Farnoosh
2021	J	`jnl`	Multi-objective Portfolio Selection Based on Skew-Normal Uncertainty Distribution and Asymmetric Entropy. Int. J. Fuzzy Log. Intell. Syst. Seyyed Hamed Abtahi, Gholamhossein Yari, Farhad Hosseinzadeh Lotfi, Rahman Farnoosh
2018	J	`jnl`	Nonlinear autoregressive model with stochastic volatility innovations: Semiparametric and Bayesian approach. J. Comput. Appl. Math. Arezo Hajrajabi, A. R. Yazdanian, Rahman Farnoosh
2017	J	`jnl`	Efficient and fast numerical method for pricing discrete double barrier option by projection method. Comput. Math. Appl. Rahman Farnoosh, Amirhossein Sobhani, Mohammad Hossein Beheshti
2016	J	`jnl`	Fuzzy nonparametric regression based on an adaptive neuro-fuzzy inference system. Neurocomputing Sedigheh Danesh, Rahman Farnoosh, Tahereh Razzaghnia
2016	B	`conf`	Removing noise in a digital image using a new entropy method based on intuitionistic fuzzy sets. FUZZ-IEEE Rahman Farnoosh, Mohamadtaghi Rahimi, Pranesh Kumar
2015	J	`jnl`	Numerical method for discrete double barrier option pricing with time-dependent parameters. Comput. Math. Appl. Rahman Farnoosh, Amirhossein Sobhani, Hamidreza Rezazadeh, Mohammad Hossein Beheshti
2012	J	`jnl`	The Location-Scale Mixture Exponential Power Distribution: A Bayesian and Maximum Likelihood Approach. J. Appl. Math. Zohreh Rahnamaei, Nader Nematollahi, Rahman Farnoosh
2009	J	`jnl`	Monte Carlo simulation for solving Fredholm integral equations. Kybernetes Rahman Farnoosh, Morteza Ebrahimi
2008	J	`jnl`	Biological applications and numerical solution based on Monte Carlo method for a two-dimensional parabolic inverse problem. Appl. Math. Comput. Morteza Ebrahimi, Rahman Farnoosh, Somayeh Ebrahimi
2008	J	`jnl`	Monte Carlo method for solving Fredholm integral equations of the second kind. Appl. Math. Comput. Rahman Farnoosh, Morteza Ebrahimi
2007	J	`jnl`	Monte Carlo method via a numerical algorithm to solve a parabolic problem. Appl. Math. Comput. Rahman Farnoosh, Morteza Ebrahimi