H.5. Image Processing and Computer Vision
1. Pedestrian Detection in Infrared Outdoor Images Based on Atmospheric Situation Estimation

Seyed M. Ghazali; Y. Baleghi

Volume 7, Issue 1 , Winter 2019, Pages 1-16

  Observation in absolute darkness and daytime under every atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analysing thermal images due to the variable features of pedestrians and atmospheric ...  Read More

H.3.12. Distributed Artificial Intelligence
2. Improving LNMF Performance of Facial Expression Recognition via Significant Parts Extraction using Shapley Value

M. Rezaei; V. Derhami

Volume 7, Issue 1 , Winter 2019, Pages 17-25

  Nonnegative Matrix Factorization (NMF) algorithms have been utilized in a wide range of real applications. NMF is done by several researchers to its part based representation property especially in the facial expression recognition problem. It decomposes a face image into its essential parts (e.g. nose, ...  Read More

H.3.2.2. Computer vision
3. A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image

M. H. Khosravi

Volume 7, Issue 1 , Winter 2019, Pages 27-34

  Image segmentation is an essential and critical process in image processing and pattern recognition. In this paper we proposed a textured-based method to segment an input image into regions. In our method an entropy-based textured map of image is extracted, followed by an histogram equalization step ...  Read More

H.6.3.1. Classifier design and evaluation
4. Exploiting Associations between Class Labels in Multi-label Classification

Z. Mirzamomen; Kh. Ghafooripour

Volume 7, Issue 1 , Winter 2019, Pages 35-45

  Multi-label classification has many applications in the text categorization, biology and medical diagnosis, in which multiple class labels can be assigned to each training instance simultaneously. As it is often the case that there are relationships between the labels, extracting the existing relationships ...  Read More

G.3.9. Database Applications
5. Using Combined Descriptive and Predictive Methods of Data Mining for Coronary Artery Disease Prediction: a Case Study Approach

M. Shamsollahi; A. Badiee; M. Ghazanfari

Volume 7, Issue 1 , Winter 2019, Pages 47-58

  Heart disease is one of the major causes of morbidity in the world. Currently, large proportions of healthcare data are not processed properly, thus, failing to be effectively used for decision making purposes. The risk of heart disease may be predicted via investigation of heart disease risk factors ...  Read More

H.3. Artificial Intelligence
6. A New Knowledge-Based System for Diagnosis of Breast Cancer by a combination of the Affinity Propagation and Firefly Algorithms

N. Emami; A. Pakzad

Volume 7, Issue 1 , Winter 2019, Pages 59-68

  Breast cancer has become a widespread disease around the world in young women. Expert systems, developed by data mining techniques, are valuable tools in diagnosis of breast cancer and can help physicians for decision making process. This paper presents a new hybrid data mining approach to classify two ...  Read More

H.3. Artificial Intelligence
7. A New Routing Algorithm for Vehicular Ad-hoc Networks based on Glowworm Swarm Optimization Algorithm

R. Yarinezhad; A. Sarabi

Volume 7, Issue 1 , Winter 2019, Pages 69-76

  Vehicular ad hoc networks (VANETs) are a particular type of Mobile ad hoc networks (MANET) in which the vehicles are considered as nodes. Due to rapid topology changing and frequent disconnection makes it difficult to design an efficient routing protocol for routing data among vehicles. In this paper, ...  Read More

H.3.2.4. Education
8. S3PSO: Students’ Performance Prediction Based on Particle Swarm Optimization

Seyed M. H. Hasheminejad; M. Sarvmili

Volume 7, Issue 1 , Winter 2019, Pages 77-96

  Nowadays, new methods are required to take advantage of the rich and extensive gold mine of data given the vast content of data particularly created by educational systems. Data mining algorithms have been used in educational systems especially e-learning systems due to the broad usage of these systems. ...  Read More

H.5. Image Processing and Computer Vision
9. Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers

A. Asilian Bidgoli; H. Ebrahimpour-Komle; M. Askari; Seyed J. Mousavirad

Volume 7, Issue 1 , Winter 2019, Pages 97-108

  This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, ...  Read More

Document and Text Processing
10. Automatic Construction of Persian ICT WordNet using Princeton WordNet

A. Ahmadi Tameh; M. Nassiri; M. Mansoorizadeh

Volume 7, Issue 1 , Winter 2019, Pages 109-119

  WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word ...  Read More

Document and Text Processing
11. A survey on Automatic Text Summarization

N. Nazari; M. A. Mahdavi

Volume 7, Issue 1 , Winter 2019, Pages 121-135

  Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major ...  Read More

H.6.5.13. Signal processing
12. Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM

M. Asadolahzade Kermanshahi; M. M. Homayounpour

Volume 7, Issue 1 , Winter 2019, Pages 137-147

  Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There ...  Read More

H.3.2.6. Games and infotainment
13. Robust Opponent Modeling in Real-Time Strategy Games using Bayesian Networks

A. Torkaman; R. Safabakhsh

Volume 7, Issue 1 , Winter 2019, Pages 149-159

  Opponent modeling is a key challenge in Real-Time Strategy (RTS) games as the environment is adversarial in these games, and the player cannot predict the future actions of her opponent. Additionally, the environment is partially observable due to the fog of war. In this paper, we propose an opponent ...  Read More

H.6.2.4. Neural nets
14. Intelligent identification of vehicle’s dynamics based on local model network

M. Abtahi

Volume 7, Issue 1 , Winter 2019, Pages 161-168

  This paper proposes an intelligent approach for dynamic identification of the vehicles. The proposed approach is based on the data-driven identification and uses a high-performance local model network (LMN) for estimation of the vehicle’s longitudinal velocity, lateral acceleration and yaw rate. ...  Read More

F.2.7. Optimization
15. A Combined Metaheuristic Algorithm for the Vehicle Routing Problem and its Open Version

M. YousefiKhoshbakht; N. Mahmoodi Darani

Volume 7, Issue 1 , Winter 2019, Pages 169-179

  Abstract: The Open Vehicle Routing Problem (OVRP) is one of the most important extensions of the vehicle routing problem (VRP) that has many applications in industrial and service. In the VRP, a set of customers with a specified demand of goods are given and a depot where a fleet of identical capacitated ...  Read More

H.3.13. Intelligent Web Services and Semantic Web
16. Semantic Constraint and QoS-Aware Large-Scale Web Service Composition

E. Shahsavari; S. Emadi

Volume 7, Issue 1 , Winter 2019, Pages 181-191

  Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple ...  Read More

H.3. Artificial Intelligence
17. An Efficient Optimal Fractional Emotional Intelligent Controller for an AVR System in Power Systems

M. Moradi Zirkohi

Volume 7, Issue 1 , Winter 2019, Pages 193-202

  In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous ...  Read More

H.6. Pattern Recognition
18. 2D Dimensionality Reduction Methods without Loss

S. Ahmadkhani; P. Adibi; A. ahmadkhani

Volume 7, Issue 1 , Winter 2019, Pages 203-212

  In this paper, several two-dimensional extensions of principal component analysis (PCA) and linear discriminant analysis (LDA) techniques has been applied in a lossless dimensionality reduction framework, for face recognition application. In this framework, the benefits of dimensionality reduction were ...  Read More