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R
Rahman Farnoosh
school of mathematics and computer science
14
H指数
112
论文数
743
被引数
0
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17
发表时间
发表时间
IF
被引数
Training-free 3D brain tumor segmentation using anomaly-guided voxel scoring and DBSCAN clustering
无训练的3D脑肿瘤分割,使用异常引导的体素评分和DBSCAN聚类
Ain Shams Engineering Journal
IF
5.9
2026-04-28
0
OA
AI
Hamidreza Noushkaran; Rahman Farnoosh; Karlo Abnoosian
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An ethnic-sensitive hybrid framework for T2D prediction with explainable AI and weighted ensembles
一种基于可解释人工智能和加权集成方法的T2D预测民族敏感性混合框架
Scientific Reports
IF
3.9
2025-12-23
0
OA
AI
Karlo Abnoosian; Rahman Farnoosh; Hamidreza Noushkaran; Danial Javaheri; Hasnat Azeez Shimal; Abdullah Abdulamer Abdulkarem
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UTLAM: Unsupervised Two-Level Adapting Model for Alzheimer’s Disease Classification
UTLAM:用于阿尔茨海默病分类的无监督两级适应模型
Computers 2025, Vol. 14, Page 526
IF
4.2
2025-12-02
0
OA
AI
Rahman Farnoosh; Juman Abdulateef
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An innovative computer-based approach for automated preprocessing, enhancement, and pectoral muscle simulation of raw digital mammogram images
一种基于计算机的创新方法,用于自动化处理原始数字乳腺X光图像的预处理、增强和胸肌模拟
Engineering Applications of Artificial Intelligence
IF
8
2025-11-18
0
PRE
AI
Rahman Farnoosh; Fatemeh Aghagoli
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DiabetesXpertNet: An innovative attention-based CNN for accurate type 2 diabetes prediction
PLOS ONE
IF
2.6
2025-09-30
0
PRE
AI
Farnoosh, Rahman; Abnoosian, Karlo; Isewid, Rasha Abbas; Javaheri, Danial
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Pseudo-deep unsupervised model-based clustering for brain tumor detection in magnetic resonance images
基于伪深度无监督模型的磁共振图像脑肿瘤检测聚类方法
APPLIED SOFT COMPUTING
IF
6.6
2025-02-01
0
PRE
AI
Farnoosh, Rahman; Aghagoli, Fatemeh
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Development of an unsupervised pseudo-deep approach for brain tumor detection in magnetic resonance images
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2024-09-01
0
PRE
AI
Farnoosh, Rahman; Noushkaran, Hamidreza
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Brain magnetic resonance images segmentation via improved mixtures of factor analyzers based on dynamic co-clustering
NEUROCOMPUTING
IF
6.5
2024-05-01
3
PRE
AI
Farnoosh, Rahman; Aghagoli, Fatemeh
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A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
IF
4.9
2024-05-01
3
PRE
AI
Farnoosh, Rahman; Aghagoli, Fatemeh
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An approach to modeling residual life of a renewal process for reliability analysis and maintenance planning
COMPUTERS & INDUSTRIAL ENGINEERING
IF
6.5
2023-09-01
1
PRE
AI
Ahmadi, Reza; Rasaei, Zohreh; Farnoosh, Rahman
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Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
IF
3.6
2021-04-13
13
PRE
AI
Naderkhani, R.; Behzad, M. H.; Razzaghnia, T.; Farnoosh, R.
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Use of finite mixture models with skew-t-normal Birnbaum- Saunders components in the analysis of wind speed: Case studies in Ontario, Canada
RENEWABLE ENERGY
IF
9.1
2020-12-01
5
PRE
AI
Mahbudi, Shahrbanoo; Jamalizadeh, Ahad; Farnoosh, Rahman
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Fuzzy nonparametric regression based on an adaptive neuro-fuzzy inference system
基于自适应神经模糊推理系统的模糊非参数回归
NEUROCOMPUTING
IF
6.5
2016-01-01
14
PRE
AI
Danesh, Sedigheh; Farnoosh, Rahman; Razzaghnia, Tahereh
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Monte Carlo simulation via a numerical algorithm for solving a nonlinear inverse problem
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
IF
3.8
2010-09-01
6
PRE
AI
Farnoosh, R.; Ebrahimi, M.
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Biological applications and numerical solution based on Monte Carlo method for a two-dimensional parabolic inverse problem
二维抛物型反问题的蒙特卡罗方法及其在生物学上的应用
APPLIED MATHEMATICS AND COMPUTATION
IF
3.4
2008-10-01
3
PRE
AI
Ebrahimi, Morteza; Farnoosh, Rahman; Ebrahimi, Somayeh
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Monte Carlo method for solving Fredholm integral equations of the second kind
APPLIED MATHEMATICS AND COMPUTATION
IF
3.4
2008-01-01
52
OA
AI
Farnoosh, R.; Ebrahimi, M.
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Monte Carlo method via a numerical algorithm to solve a parabolic problem
APPLIED MATHEMATICS AND COMPUTATION
IF
3.4
2007-07-01
10
PRE
AI
Farnoosh, R.; Ebrahimi, M.
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研究方向
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合作学者
合作期刊
A
Ahad Jamalizadeh
H 指数: 17 · 论文数: 115
D
Danial Javaheri
H 指数: 17 · 论文数: 37
R
Reza Ahmadi
H 指数: 16 · 论文数: 104
M
Morteza Ebrahimi
H 指数: 14 · 论文数: 44
M
Mehdi Ebrahimi
H 指数: 9 · 论文数: 39
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