Original/Review Paper
Multi-Task Feature Selection for Speech Emotion Recognition: Common Speaker-Independent Features Among Emotions

E. Kalhor; B. Bakhtiari

Volume 9, Issue 3 , July 2021, Pages 269-282


  Feature selection is the one of the most important steps in designing speech emotion recognition systems. Because there is uncertainty as to which speech feature is related to which emotion, many features must be taken into account and, for this purpose, identifying the most discriminative features is ...  Read More

Original/Review Paper
A Hybrid Framework for Personality Prediction based on Fuzzy Neural Networks and Deep Neural Networks

N. Taghvaei; B. Masoumi; M. R. Keyvanpour

Volume 9, Issue 3 , July 2021, Pages 283-294


  In general, humans are very complex organisms, and therefore, research into their various dimensions and aspects, including personality, has become an attractive subject of research. With the advent of technology, the emergence of a new kind of communication in the context of social networks has also ...  Read More

Original/Review Paper
Camera Arrangement using Geometric Optimization to Minimize Localization Error in Stereo-vision Systems

H. Kamali Ardakani; Seyed A. Mousavinia; F. Safaei

Volume 9, Issue 3 , July 2021, Pages 295-307


  Stereo machine vision can be used as a Space Sampling technique and the cameras parameters and configuration can effectively change the number of Samples in each Volume of space called Space Sampling Density (SSD). Using the concept of Voxels, this paper presents a method to optimize the geometric configuration ...  Read More

Original/Review Paper
An Efficient Approach to Solve Software-defined Networks based Virtual Machines Placement Problem using Moth-Flame Optimization in the Cloud Computing Environment

A. H Safari-Bavil; S. Jabbehdari; M. Ghobaei-Arani

Volume 9, Issue 3 , July 2021, Pages 309-320


  Generally, the issue of quality assurance is a specific assurance in computer networks. The conventional computer networks with hierarchical structures that are used in organizations are formed using some nodes of Ethernet switches within a tree structure. Open Flow is one of the main fundamental protocols ...  Read More

Original/Review Paper
Automatic Grayscale Image Colorization using a Deep Hybrid Model

K. Kiani; R. Hematpour; R. Rastgoo

Volume 9, Issue 3 , July 2021, Pages 321-328


  Image colorization is an interesting yet challenging task due to the descriptive nature of getting a natural-looking color image from any grayscale image. To tackle this challenge and also have a fully automatic procedure, we propose a Convolutional Neural Network (CNN)-based model to benefit from the ...  Read More

Original/Review Paper
Hybrid PSO-SA Approach for Feature Weighting in Analogy-Based Software Project Effort Estimation

Z. Shahpar; V. Khatibi; A. Khatibi Bardsiri

Volume 9, Issue 3 , July 2021, Pages 329-340


  Software effort estimation plays an important role in software project management, and analogy-based estimation (ABE) is the most common method used for this purpose. ABE estimates the effort required for a new software project based on its similarity to previous projects. A similarity between the projects ...  Read More

Original/Review Paper
Investigating Changes in Household Consumable Market Using Data Mining Techniques

A. Hasan-Zadeh; F. Asadi; N. Garbazkar

Volume 9, Issue 3 , July 2021, Pages 341-349


  For an economic review of food prices in May 2019 to determine the trend of rising or decreasing prices compared to previous periods, we considered the price of food items at that time. The types of items consumed during specific periods in urban areas and the whole country are selected for our statistical ...  Read More

Original/Review Paper
Detecting Breast Cancer through Blood Analysis Data using Classification Algorithms

Oladosu Oladimeji; Olayanju Oladimeji

Volume 9, Issue 3 , July 2021, Pages 351-359


  Breast cancer is the second major cause of death and accounts for 16% of all cancer deaths worldwide. Most of the methods of detecting breast cancer are very expensive and difficult to interpret such as mammography. There are also limitations such as cumulative radiation exposure, over-diagnosis, false ...  Read More

Original/Review Paper
A Heuristic Algorithm for Multi-layer Network Optimization in Cloud Computing

A. Hadian; M. Bagherian; B. Fathi Vajargah

Volume 9, Issue 3 , July 2021, Pages 361-367


  Background: One of the most important concepts in cloud computing is modeling the problem as a multi-layer optimization problem which leads to cost savings in designing and operating the networks. Previous researchers have modeled the two-layer network operating problem as an Integer Linear Programming ...  Read More

Original/Review Paper
Sequential Multi-objective Genetic Algorithm

L. Falahiazar; V. Seydi; M. Mirzarezaee

Volume 9, Issue 3 , July 2021, Pages 369-381


  Many of the real-world issues have multiple conflicting objectives that the optimization between contradictory objectives is very difficult. In recent years, the Multi-objective Evolutionary Algorithms (MOEAs) have shown great performance to optimize such problems. So, the development of MOEAs will always ...  Read More

Review Article
A Mobile Charger based on Wireless Power Transfer Technologies: A Survey of Concepts, Techniques, Challenges, and Applications on Rechargeable Wireless Sensor Networks

N. Nowrozian; F. Tashtarian

Volume 9, Issue 3 , July 2021, Pages 383-402


  Battery power limitation of sensor nodes (SNs) is a major challenge for wireless sensor networks (WSNs) which affects network survival. Thus, optimizing the energy consumption of the SNs as well as increasing the lifetime of the SNs and thus, extending the lifetime of WSNs are of crucial importance in ...  Read More

Original/Review Paper
DTEC-MAC: Diverse Traffic with Guarantee Energy Consumption for MAC in Wireless Body Area Networks

F. Rismanian Yazdi; M. Hosseinzadeh; S. Jabbehdari

Volume 9, Issue 3 , July 2021, Pages 403-414


  Wireless body area networks (WBAN) are innovative technologies that have been the anticipation greatly promote healthcare monitoring systems. All WBAN included biomedical sensors that can be worn on or implanted in the body. Sensors are monitoring vital signs and then processing the data and transmitting ...  Read More