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1
A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism
A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism
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A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism

Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt, 2021-05, Vol.13 (Special Issue: Big Data Analytics and Management in Internet of Things), p.21-35 [Peer Reviewed Journal]

ISSN: 2008-5893 ;EISSN: 2423-5059 ;DOI: 10.22059/jitm.2021.80615

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2
Fault Detection of Bearings Using a Rule-based Classifier Ensemble and Genetic Algorithm
Fault Detection of Bearings Using a Rule-based Classifier Ensemble and Genetic Algorithm
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Fault Detection of Bearings Using a Rule-based Classifier Ensemble and Genetic Algorithm

International journal of engineering (Tehran), 2017-04, Vol.30 (4) [Peer Reviewed Journal]

ISSN: 1728-1431 ;EISSN: 1735-9244 ;DOI: 10.5829/idosi.ije.2017.30.04a.20

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3
Application of ROC curve to assess pixel-based classification methods on UltraCam-D aerial imagery to discriminate tree crowns in pure stands of Brant`s oak in Zagros forests
Application of ROC curve to assess pixel-based classification methods on UltraCam-D aerial imagery to discriminate tree crowns in pure stands of Brant`s oak in Zagros forests
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Application of ROC curve to assess pixel-based classification methods on UltraCam-D aerial imagery to discriminate tree crowns in pure stands of Brant`s oak in Zagros forests

Taḥqīqāt-i jangal va ṣanubar-i Īrān, 2014-12, Vol.22 (4), p.649-663 [Peer Reviewed Journal]

ISSN: 1735-0883 ;EISSN: 2383-1146 ;DOI: 10.22092/ijfpr.2014.13179

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4
Comparison of Different Classifiers for Prediction of Breast Cancer Metastasis in Microarray Analysis
Comparison of Different Classifiers for Prediction of Breast Cancer Metastasis in Microarray Analysis
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Comparison of Different Classifiers for Prediction of Breast Cancer Metastasis in Microarray Analysis

Majallah-i dānishkadah-i pizishkī-i Iṣfahān. (Online), 2014-09, Vol.32 (292), p.1028-1035

ISSN: 1027-7595 ;EISSN: 1735-854X

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5
Flash Attack Prognosis by Ensemble Supervised Learning for IoT Networks
Flash Attack Prognosis by Ensemble Supervised Learning for IoT Networks
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Flash Attack Prognosis by Ensemble Supervised Learning for IoT Networks

Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt, 2023-03, Vol.15 (Special Issue: Digital Twin Enabled Neural Networks Architecture Management for Sustainable Computing), p.124-149 [Peer Reviewed Journal]

ISSN: 2008-5893 ;EISSN: 2423-5059 ;DOI: 10.22059/jitm.2023.91572

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6
Determining Journal Rank by Applying Particle Swarm Optimization-Naive Bayes Classifier
Determining Journal Rank by Applying Particle Swarm Optimization-Naive Bayes Classifier
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Determining Journal Rank by Applying Particle Swarm Optimization-Naive Bayes Classifier

Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt, 2021-10, Vol.13 (4), p.116-125 [Peer Reviewed Journal]

ISSN: 2008-5893 ;EISSN: 2423-5059 ;DOI: 10.22059/jitm.2021.305435.2559

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7
Type shifting and the number system in Persian
Type shifting and the number system in Persian
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Type shifting and the number system in Persian

نشریه پژوهش‌های زبان‌شناسی, 2023-03, Vol.15 (1), p.137-158 [Peer Reviewed Journal]

EISSN: 2322-3413 ;DOI: 10.22108/jrl.2023.137123.1741

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8
Evaluating the Efficiency of Four Artificial Neural Network Methods in Preparing Land Cover/Land Use Map Using ETM+ Data Case study: Doiraje, Mehran and Sarableh
Evaluating the Efficiency of Four Artificial Neural Network Methods in Preparing Land Cover/Land Use Map Using ETM+ Data Case study: Doiraje, Mehran and Sarableh
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Evaluating the Efficiency of Four Artificial Neural Network Methods in Preparing Land Cover/Land Use Map Using ETM+ Data Case study: Doiraje, Mehran and Sarableh

Jughrāfiyā va tusi̒ah (Online), 2014-12, Vol.12 (37), p.133-146 [Peer Reviewed Journal]

ISSN: 1735-0735 ;EISSN: 2676-7791 ;DOI: 10.22111/gdij.2015.1824

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9
Performance Evaluation of Three Image Classification Methods (Random Forest, Support Vector Machine and the Maximum Likelihood) in Land Use Mapping
Performance Evaluation of Three Image Classification Methods (Random Forest, Support Vector Machine and the Maximum Likelihood) in Land Use Mapping
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Performance Evaluation of Three Image Classification Methods (Random Forest, Support Vector Machine and the Maximum Likelihood) in Land Use Mapping

ʻ̒Ulūm-i āb va khāk (Online), 2019-03, Vol.22 (4), p.235-247 [Peer Reviewed Journal]

ISSN: 2476-3594 ;EISSN: 2476-5554 ;DOI: 10.29252/jstnar.22.4.235

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10
A New Computer-Aided Detection System for Pulmonary Nodule in CT Scan Images of Cancerous Patients
A New Computer-Aided Detection System for Pulmonary Nodule in CT Scan Images of Cancerous Patients
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A New Computer-Aided Detection System for Pulmonary Nodule in CT Scan Images of Cancerous Patients

Majallah-i dānishgāh-i ̕ulūm-i pizishkī va khadamāt-i bihdāshtī-darmānī Shahīd Ṣadūqī Yazd, 2020-07, Vol.28 (4), p.2595-2606 [Peer Reviewed Journal]

ISSN: 2228-5741 ;EISSN: 2228-5733 ;DOI: 10.18502/ssu.v28i4.3770

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11
A New and Efficient Feature Extraction Method for Robust Speech Recognition Based on Fractional Fourier Transform and Differential Evolution Optimizer
A New and Efficient Feature Extraction Method for Robust Speech Recognition Based on Fractional Fourier Transform and Differential Evolution Optimizer
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A New and Efficient Feature Extraction Method for Robust Speech Recognition Based on Fractional Fourier Transform and Differential Evolution Optimizer

مجله مدل سازی در مهندسی, 2020-06, Vol.18 (61), p.85-96 [Peer Reviewed Journal]

ISSN: 2008-4854 ;EISSN: 2783-2538 ;DOI: 10.22075/jme.2020.19267.1821

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12
Proposed a New Hybrid LOF-ANN Method to Extreme Wave Height Prediction based on Meteorological Data
Proposed a New Hybrid LOF-ANN Method to Extreme Wave Height Prediction based on Meteorological Data
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Proposed a New Hybrid LOF-ANN Method to Extreme Wave Height Prediction based on Meteorological Data

Nashriyyah-i muhandisī-i daryā (Online), 2020-01, Vol.15 (30), p.23-40 [Peer Reviewed Journal]

ISSN: 1735-7608 ;EISSN: 2645-8136

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13
Designing a Heart Disease prediction System using Support Vector Machine
Designing a Heart Disease prediction System using Support Vector Machine
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Designing a Heart Disease prediction System using Support Vector Machine

Anfurmātīk-i salāmat va zīst/pizishkī, 2017-06, Vol.4 (1), p.1-10 [Peer Reviewed Journal]

ISSN: 2423-3870 ;EISSN: 2423-3498

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14
Designing a System for Detection of Pulmonary Nodules in Lung CT Images Using Support Vector Machine Classifier
Designing a System for Detection of Pulmonary Nodules in Lung CT Images Using Support Vector Machine Classifier
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Designing a System for Detection of Pulmonary Nodules in Lung CT Images Using Support Vector Machine Classifier

Anfurmātīk-i salāmat va zīst/pizishkī, 2017-03, Vol.3 (4), p.300-309 [Peer Reviewed Journal]

ISSN: 2423-3870 ;EISSN: 2423-3498

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15
Classification and prediction of three and multi stigma in saffron by statistical, unsupervised machine learning tools
Classification and prediction of three and multi stigma in saffron by statistical, unsupervised machine learning tools
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Classification and prediction of three and multi stigma in saffron by statistical, unsupervised machine learning tools

Zirā̒at va Fanāvarī-i Za̒farān, 2014-10, Vol.2 (3), p.199-204 [Peer Reviewed Journal]

ISSN: 2383-1529 ;EISSN: 2383-2142 ;DOI: 10.22048/jsat.2014.7810

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16
شناسایی و طبقه‌بندی خودکار نواحی خونریزی مغزی با استفاده از ماشین بردار پشتیبان چند کلاسه در تصاویر سی‌ تی اسکن
شناسایی و طبقه‌بندی خودکار نواحی خونریزی مغزی با استفاده از ماشین بردار پشتیبان چند کلاسه در تصاویر سی‌ تی اسکن
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شناسایی و طبقه‌بندی خودکار نواحی خونریزی مغزی با استفاده از ماشین بردار پشتیبان چند کلاسه در تصاویر سی‌ تی اسکن

Majallah-i dānishkadah-i pizishkī-i Iṣfahān. (Online), 2014-07, Vol.32 (284), p.631-646

ISSN: 1027-7595 ;EISSN: 1735-854X

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17
Assessment of the Effectiveness of Decision Tree Classification Method for Extracting Landuses Map by Using Sattellite Data in Cham Gardalan Catchment Area
Assessment of the Effectiveness of Decision Tree Classification Method for Extracting Landuses Map by Using Sattellite Data in Cham Gardalan Catchment Area
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Assessment of the Effectiveness of Decision Tree Classification Method for Extracting Landuses Map by Using Sattellite Data in Cham Gardalan Catchment Area

Jughrāfiyā va āmāyish-i shahrī manṭaqah/ī (Online), 2012-09, Vol.2 (4), p.17-26 [Peer Reviewed Journal]

ISSN: 2345-2277 ;EISSN: 2783-5278 ;DOI: 10.22111/gaij.2012.873

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18
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Matn/shināsī-i adab-i Fārsī, 2012, Vol.3 (4), p.1 [Peer Reviewed Journal]

ISSN: 2476-3268 ;EISSN: 2476-3268

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