J.10.3. Financial
1. Credit Card Fraud Detection using Data mining and Statistical Methods

S. Beigi; M.R. Amin Naseri

Volume 8, Issue 2 , Spring 2020, Pages 149-160


  Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually. In this research, we propose a combined method ...  Read More

H.5. Image Processing and Computer Vision
2. Sparse Structured Principal Component Analysis and Model Learning for Classification and Quality Detection of Rice Grains

S. Mavaddati

Volume 8, Issue 2 , Spring 2020, Pages 161-175


  In scientific and commercial fields associated with modern agriculture, the categorization of different rice types and determination of its quality is very important. Various image processing algorithms are applied in recent years to detect different agricultural products. The problem of rice classification ...  Read More

H.3. Artificial Intelligence
3. Hand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study

M. Kurmanji; F. Ghaderi

Volume 8, Issue 2 , Spring 2020, Pages 177-188


  Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement ...  Read More

C.3. Software Engineering
4. A Hybrid Meta-heuristic Approach to Cope with State Space Explosion in Model Checking Technique for Deadlock Freeness

N. Rezaee; H. Momeni

Volume 8, Issue 2 , Spring 2020, Pages 189-199


  Model checking is an automatic technique for software verification through which all reachable states are generated from an initial state to finding errors and desirable patterns. In the model checking approach, the behavior and structure of system should be modeled. Graph transformation system is a ...  Read More

D. Data
5. Community Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks

M. Zarezade; E. Nourani; Asgarali Bouyer

Volume 8, Issue 2 , Spring 2020, Pages 201-212


  Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the advantages of linear time complexity and applicable ...  Read More

B.3. Communication/Networking and Information Technology
6. Improving Performance of Opportunistic Routing Protocol using Fuzzy Logic for Vehicular Ad-hoc Networks in Highways

A. Azimi Kashani; M. Ghanbari; A. M. Rahmani

Volume 8, Issue 2 , Spring 2020, Pages 213-226


  Vehicular ad hoc networks are an emerging technology with an extensive capability in various applications including vehicles safety, traffic management and intelligent transportation systems. Considering the high mobility of vehicles and their inhomogeneous distributions, designing an efficient routing ...  Read More

H.3.8. Natural Language Processing
7. A Novel Approach to Conditional Random Field-based Named Entity Recognition using Persian Specific Features

L. Jafar Tafreshi; F. Soltanzadeh

Volume 8, Issue 2 , Spring 2020, Pages 227-236


  Named Entity Recognition is an information extraction technique that identifies name entities in a text. Three popular methods have been conventionally used namely: rule-based, machine-learning-based and hybrid of them to extract named entities from a text. Machine-learning-based methods have good performance ...  Read More

H.6.3.2. Feature evaluation and selection
8. H-BwoaSvm: A Hybrid Model for Classification and Feature Selection of Mammography Screening Behavior Data

E. Enayati; Z. Hassani; M. Moodi

Volume 8, Issue 2 , Spring 2020, Pages 237-245


  Breast cancer is one of the most common cancer in the world. Early detection of cancers cause significantly reduce in morbidity rate and treatment costs. Mammography is a known effective diagnosis method of breast cancer. A way for mammography screening behavior identification is women's awareness evaluation ...  Read More

9. Identification of Factors Affecting Quality of Teaching Engineering Drawing using a Hybrid MCDM Model

H. Haghshenas Gorgani; A. R. Jahantigh Pak

Volume 8, Issue 2 , Spring 2020, Pages 247-267


  Identification of the factors affecting teaching quality of engineering drawing and interaction between them is necessary until it is determined which manipulation will improve the quality of teaching this course. Since the above issue is a Multi-Criteria Decision Making (MCDM) problem and on the other ...  Read More

F.3.3. Graph Theor
10. A New Reliable Controller Placement Model for Software-Defined WANs

A. Jalili; M. Keshtgari

Volume 8, Issue 2 , Spring 2020, Pages 269-277


  Software-Defined Network (SDNs) is a decoupled architecture that enables administrators to build a customizable and manageable network. Although the decoupled control plane provides flexible management and facilitates the task of operating the network, it is the vulnerable point of failure in SDN. To ...  Read More

11. A Hybrid Business Success Versus Failure Classification Prediction Model: A Case of Iranian Accelerated Start-ups

Seyed M. Sadatrasoul; O. Ebadati; R. Saedi

Volume 8, Issue 2 , Spring 2020, Pages 279-287


  The purpose of this study is to reduce the uncertainty of early stage startups success prediction and filling the gap of previous studies in the field, by identifying and evaluating the success variables and developing a novel business success failure (S/F) data mining classification prediction model ...  Read More

H.5. Image Processing and Computer Vision
12. Statistical Wavelet-based Image Denoising using Scale Mixture of Normal Distributions with Adaptive Parameter Estimation

M. Saeedzarandi; H. Nezamabadi-pour; S. Saryazdi

Volume 8, Issue 2 , Spring 2020, Pages 289-301


  Removing noise from images is a challenging problem in digital image processing. This paper presents an image denoising method based on a maximum a posteriori (MAP) density function estimator, which is implemented in the wavelet domain because of its energy compaction property. The performance of the ...  Read More