Original/Review Paper
BRTSRDM: Bi-Criteria Regression Test Suite Reduction based on Data Mining

Mohammad Reza Keyvanpour; Zahra Karimi Zandian; Nasrin Mottaghi

Volume 11, Issue 2 , April 2023, Pages 161-186


  Regression testing reduction is an essential phase in software testing. In this step, the redundant and unnecessary cases are eliminated, whereas software accuracy and performance are not degraded. So far, various researches have been proposed in regression testing reduction field. The main challenge ...  Read More

Original/Review Paper
An Intelligent Fuzzy System for Diabetes Disease Detection using Harris Hawks Optimization

Zahra Asghari Varzaneh; Soodeh Hosseini

Volume 11, Issue 2 , April 2023, Pages 187-194


  This paper proposed a fuzzy expert system for diagnosing diabetes. In the proposed method, at first, the fuzzy rules are generated based on the Pima Indians Diabetes Database (PIDD) and then the fuzzy membership functions are tuned using the Harris Hawks optimization (HHO). The experimental data set, ...  Read More

Original/Review Paper H.5. Image Processing and Computer Vision
A New Scheme for Lossless Meaningful Visual Secret Sharing by using XOR Properties

Z. Mehrnahad; A.M. Latif; J. Zarepour Ahmadabadi

Volume 11, Issue 2 , April 2023, Pages 195-211


  In this paper, a novel scheme for lossless meaningful visual secret sharing using XOR properties is presented. In the first step, genetic algorithm with an appropriate proposed objective function created noisy share images. These images do not contain any information about the input secret image and ...  Read More

Original/Review Paper
Improved Facial Action Unit Recognition using Local and Global Face Features

Amin Rahmati; Foad Ghaderi

Volume 11, Issue 2 , April 2023, Pages 213-220


  Every facial expression involves one or more facial action units appearing on the face. Therefore, action unit recognition is commonly used to enhance facial expression detection performance. It is important to identify subtle changes in face when particular action units occur. In this paper, we propose ...  Read More

Technical Paper
MoGaL: Novel Movie Graph Construction by Applying LDA on Subtitle

Mohammad Nazari; Hossein Rahmani; Dadfar Momeni; Motahare Nasiri

Volume 11, Issue 2 , April 2023, Pages 221-228


  Graph representation of data can better define relationships among data components and thus provide better and richer analysis. So far, movies have been represented in graphs many times using different features for clustering, genre prediction, and even for use in recommender systems. In constructing ...  Read More

Original/Review Paper
A Deep Learning-based Model for Gender Recognition in Mobile Devices

Fatemeh Alinezhad; Kourosh Kiani; Razieh Rastgoo

Volume 11, Issue 2 , April 2023, Pages 229-236


  Gender recognition is an attractive research area in recent years. To make a user-friendly application for gender recognition, having an accurate, fast, and lightweight model applicable in a mobile device is necessary. Although successful results have been obtained using the Convolutional Neural Network ...  Read More

Original/Review Paper
An Unsupervised Anomaly Detection Model for Weighted Heterogeneous Graph

Maryam Khazaei; Nosratali Ashrafi-Payaman

Volume 11, Issue 2 , April 2023, Pages 237-245


  Nowadays, whereas the use of social networks and computer networks is increasing, the amount of associated complex data with graph structure and their applications, such as classification, clustering, link prediction, and recommender systems, has risen significantly. Because of security problems and ...  Read More

Original/Review Paper
Digit Recognition in Spiking Neural Networks using Wavelet Transform

H. Aghabarar; K. Kiani; P. Keshavarzi

Volume 11, Issue 2 , April 2023, Pages 247-257


  Nowadays, given the rapid progress in pattern recognition, new ideas such as theoretical mathematics can be exploited to improve the efficiency of these tasks. In this paper, the Discrete Wavelet Transform (DWT) is used as a mathematical framework to demonstrate handwritten digit recognition in spiking ...  Read More

Review Article H.3. Artificial Intelligence
Game Theory Solutions in Sensor-Based Human Activity Recognition: A Review

Mohammad Hossein Shayesteh; Behrooz Shahrokhzadeh; Behrooz Masoumi

Volume 11, Issue 2 , April 2023, Pages 259-289


  This paper provides a comprehensive review of the potential of game theory as a solution for sensor-based human activity recognition (HAR) challenges. Game theory is a mathematical framework that models interactions between multiple entities in various fields, including economics, political science, ...  Read More

Applied Article Document and Text Processing
Persian Address Geocoding: an LALR Parsing and Dynamic Programming Approach

A.R. Mazochi; S. Bourbour; M. R. Ghofrani; S. Momtazi

Volume 11, Issue 2 , April 2023, Pages 291-302


  Converting a postal address to a coordinate, geocoding, is a helpful tool in many applications. Developing a geocoder tool is a difficult task if this tool relates to a developing country that does not follow a standard addressing format. The lack of complete reference data and non-persistency of names ...  Read More

Original/Review Paper F.4.18. Time series analysis
Time Series Clustering based on Aggregation and Selection of Extracted Features

Ali Ghorbanian; Hamideh Razavi

Volume 11, Issue 2 , April 2023, Pages 303-314


  In time series clustering, features are typically extracted from the time series data and used for clustering instead of directly clustering the data. However, using the same set of features for all data sets may not be effective. To overcome this limitation, this study proposes a five-step algorithm ...  Read More

Original/Review Paper H.3.2.10. Medicine and science
Coronavirus Incidence Rate Estimation from Social Media Data in Iran

Fahimeh Hafezi; Maryam Khodabakhsh

Volume 11, Issue 2 , April 2023, Pages 315-329


  Coronavirus disease as a persistent epidemic of acute respiratory syndrome posed a challenge to global healthcare systems. Many people have been forced to stay in their homes due to unprecedented quarantine practices around the world. Since most people used social media during the Coronavirus epidemic, ...  Read More