H.5. Image Processing and Computer Vision
1. Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks

M. Amin-Naji; A. Aghagolzadeh

Volume 6, Issue 2 , Summer 2018, Pages 233-250

Abstract
  The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
2. Tuning Shape Parameter of Radial Basis Functions in Zooming Images using Genetic Algorithm

A.M Esmilizaini; A.M Latif; Gh. Barid Loghmani

Volume 6, Issue 2 , Summer 2018, Pages 251-262

Abstract
  Image zooming is one of the current issues of image processing where maintaining the quality and structure of the zoomed image is important. To zoom an image, it is necessary that the extra pixels be placed in the data of the image. Adding the data to the image must be consistent with the texture in ...  Read More

F.4.17. Survival analysis
3. Extracting Predictor Variables to Construct Breast Cancer Survivability Model with Class Imbalance Problem

S. Miri Rostami; M. Ahmadzadeh

Volume 6, Issue 2 , Summer 2018, Pages 263-276

Abstract
  Application of data mining methods as a decision support system has a great benefit to predict survival of new patients. It also has a great potential for health researchers to investigate the relationship between risk factors and cancer survival. But due to the imbalanced nature of datasets associated ...  Read More

D. Data
4. Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms

M. Abdar; M. Zomorodi-Moghadam

Volume 6, Issue 2 , Summer 2018, Pages 277-285

Abstract
  In this paper the accuracy of two machine learning algorithms including SVM and Bayesian Network are investigated as two important algorithms in diagnosis of Parkinson’s disease. We use Parkinson's disease data in the University of California, Irvine (UCI). In order to optimize the SVM algorithm, ...  Read More

H.3. Artificial Intelligence
5. Extracting Prior Knowledge from Data Distribution to Migrate from Blind to Semi-Supervised Clustering

Z. Sedighi; R. Boostani

Volume 6, Issue 2 , Summer 2018, Pages 287-295

Abstract
  Although many studies have been conducted to improve the clustering efficiency, most of the state-of-art schemes suffer from the lack of robustness and stability. This paper is aimed at proposing an efficient approach to elicit prior knowledge in terms of must-link and cannot-link from the estimated ...  Read More

B.3. Communication/Networking and Information Technology
6. Multi-layer Clustering Topology Design in Densely Deployed Wireless Sensor Network using Evolutionary Algorithms

Seyed M. Hosseinirad

Volume 6, Issue 2 , Summer 2018, Pages 297-311

Abstract
  Due to the resource constraint and dynamic parameters, reducing energy consumption became the most important issues of wireless sensor networks topology design. All proposed hierarchy methods cluster a WSN in different cluster layers in one step of evolutionary algorithm usage with complicated parameters ...  Read More

B. Computer Systems Organization
7. Target Tracking Based on Virtual Grid in Wireless Sensor Networks

F. Hoseini; A. Shahbahrami; A. Yaghoobi Notash

Volume 6, Issue 2 , Summer 2018, Pages 313-319

Abstract
  One of the most important and typical application of wireless sensor networks (WSNs) is target tracking. Although target tracking, can provide benefits for large-scale WSNs and organize them into clusters but tracking a moving target in cluster-based WSNs suffers a boundary problem. The main goal of ...  Read More

H.6. Pattern Recognition
8. A Geometry Preserving Kernel over Riemannian Manifolds

Kh. Sadatnejad; S. Shiry Ghidari; M. Rahmati

Volume 6, Issue 2 , Summer 2018, Pages 321-334

Abstract
  Abstract- Kernel trick and projection to tangent spaces are two choices for linearizing the data points lying on Riemannian manifolds. These approaches are used to provide the prerequisites for applying standard machine learning methods on Riemannian manifolds. Classical kernels implicitly project data ...  Read More

F.3.4. Applications
9. Graph Hybrid Summarization

N. Ashrafi Payaman; M.R. Kangavari

Volume 6, Issue 2 , Summer 2018, Pages 335-340

Abstract
  One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
10. MHSubLex: Using Metaheuristic Methods for Subjectivity Classification of Microblogs

H.R Keshavarz; M. Saniee Abadeh

Volume 6, Issue 2 , Summer 2018, Pages 341-353

Abstract
  In Web 2.0, people are free to share their experiences, views, and opinions. One of the problems that arises in web 2.0 is the sentiment analysis of texts produced by users in outlets such as Twitter. One of main the tasks of sentiment analysis is subjectivity classification. Our aim is to classify the ...  Read More

A.7. Logic Design
11. A Fast and Self-Repairing Genetic Programming Designer for Logic Circuits

A. M. Mousavi; M. Khodadadi

Volume 6, Issue 2 , Summer 2018, Pages 355-363

Abstract
  Usually, important parameters in the design and implementation of combinational logic circuits are the number of gates, transistors, and the levels used in the design of the circuit. In this regard, various evolutionary paradigms with different competency have recently been introduced. However, while ...  Read More

F.2.7. Optimization
12. Non-linear Fractional-Order Chaotic Systems Identification with Approximated Fractional-Order Derivative based on a Hybrid Particle Swarm Optimization-Genetic Algorithm Method

M. Kosari; M. Teshnehlab

Volume 6, Issue 2 , Summer 2018, Pages 365-373

Abstract
  Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, ...  Read More

C.3. Software Engineering
13. Optimizing Cost Function in Imperialist Competitive Algorithm for Path Coverage Problem in Software Testing

M. A. Saadtjoo; S. M. Babamir

Volume 6, Issue 2 , Summer 2018, Pages 375-385

Abstract
  Search-based optimization methods have been used for software engineering activities such as software testing. In the field of software testing, search-based test data generation refers to application of meta-heuristic optimization methods to generate test data that cover the code space of a program. ...  Read More

G.3.5. Systems
14. Assessment Methodology for Anomaly-Based Intrusion Detection in Cloud Computing

M. Rezvani

Volume 6, Issue 2 , Summer 2018, Pages 387-397

Abstract
  Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional ...  Read More

Document and Text Processing
15. Data Extraction using Content-Based Handles

A. Pouramini; S. Khaje Hassani; Sh. Nasiri

Volume 6, Issue 2 , Summer 2018, Pages 399-407

Abstract
  In this paper, we present an approach and a visual tool, called HWrap (Handle Based Wrapper), for creating web wrappers to extract data records from web pages. In our approach, we mainly rely on the visible page content to identify data regions on a web page. In our extraction algorithm, we inspired ...  Read More

G. Information Technology and Systems
16. A New Hybrid model of Multi-layer Perceptron Artificial Neural Network and Genetic Algorithms in Web Design Management Based on CMS

M. Aghazadeh; F. Soleimanian Gharehchopogh

Volume 6, Issue 2 , Summer 2018, Pages 409-415

Abstract
  The size and complexity of websites have grown significantly during recent years. In line with this growth, the need to maintain most of the resources has been intensified. Content Management Systems (CMSs) are software that was presented in accordance with increased demands of users. With the advent ...  Read More

H.3.2.3. Decision support
17. Analyzing and Investigating the Use of Electronic Payment Tools in Iran using Data Mining Techniques

F. Moslehi; A.R. Haeri; A.R. Moini

Volume 6, Issue 2 , Summer 2018, Pages 417-437

Abstract
  In today's world, most financial transactions are carried out using done through electronic instruments and in the context of the Information Technology and Internet. Disregarding the application of new technologies at this field and sufficing to traditional ways, will result in financial loss and customer ...  Read More

I.3.5. Earth and atmospheric sciences
18. Adaptive Network-based Fuzzy Inference System-Genetic Algorithm Models for Prediction Groundwater Quality Indices: a GIS-based Analysis

A. Jalalkamali; N. Jalalkamali

Volume 6, Issue 2 , Summer 2018, Pages 439-445

Abstract
  The prediction of groundwater quality is very important for the management of water resources and environmental activities. The present study has integrated a number of methods such as Geographic Information Systems (GIS) and Artificial Intelligence (AI) methodologies to predict groundwater quality in ...  Read More