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

E. Kalhor; B. Bakhtiari

Articles in Press, Accepted Manuscript, Available Online from 15 May 2021

http://dx.doi.org/10.22044/jadm.2021.9800.2118

Abstract
  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
2. A Heuristic Algorithm for Multi-layer Network Optimization in Cloud Computing

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

Articles in Press, Accepted Manuscript, Available Online from 15 May 2021

http://dx.doi.org/10.22044/jadm.2021.9955.2133

Abstract
  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
3. A Hybrid Framework for Personality Prediction based on Fuzzy Neural Networks and Deep Neural Networks

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

Articles in Press, Accepted Manuscript, Available Online from 23 May 2021

http://dx.doi.org/10.22044/jadm.2021.10583.2197

Abstract
  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
4. Sequential Multi-objective Genetic Algorithm

L. Falahiazar; V. Seydi; M. Mirzarezaee

Articles in Press, Accepted Manuscript, Available Online from 25 May 2021

http://dx.doi.org/10.22044/jadm.2021.9598.2092

Abstract
  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

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

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

Articles in Press, Accepted Manuscript, Available Online from 25 May 2021

http://dx.doi.org/10.22044/jadm.2021.9855.2117

Abstract
  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
6. 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

Articles in Press, Accepted Manuscript, Available Online from 29 May 2021

http://dx.doi.org/10.22044/jadm.2021.9737.2106

Abstract
  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

Review Article
7. 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

Articles in Press, Accepted Manuscript, Available Online from 15 June 2021

http://dx.doi.org/10.22044/jadm.2021.9936.2127

Abstract
  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
8. Automatic Grayscale Image Colorization using a Deep Hybrid Model

K. Kiani; R. Hematpour; R. Rastgoo

Articles in Press, Accepted Manuscript, Available Online from 01 April 2021

http://dx.doi.org/10.22044/jadm.2021.9957.2131

Abstract
  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
9. Hybrid PSO-SA approach for feature weighting in analogy-based software project effort estimation

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

Articles in Press, Accepted Manuscript, Available Online from 27 June 2021

http://dx.doi.org/10.22044/jadm.2021.10119.2152

Abstract
  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
10. Investigating Changes in Household Consumable Market Using Data Mining Techniques

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

Articles in Press, Accepted Manuscript, Available Online from 30 June 2021

http://dx.doi.org/10.22044/jadm.2021.10024.2139

Abstract
  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
11. Detecting Breast Cancer through Blood Analysis Data using Classification Algorithms

Oladosu Oladimeji; Olayanju Oladimeji

Articles in Press, Accepted Manuscript, Available Online from 10 July 2021

http://dx.doi.org/10.22044/jadm.2021.9839.2116

Abstract
  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
12. DTEC-MAC: Diverse Traffic with Guarantee Energy Consumption for MAC in Wireless Body Area Networks

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

Articles in Press, Accepted Manuscript, Available Online from 24 July 2021

http://dx.doi.org/10.22044/jadm.2021.10117.2149

Abstract
  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

Technical Paper
13. Data Mining-based Structural Damage Identification of Composite Bridge using Support Vector Machine

M. Gordan; Saeed R. Sabbagh-Yazdi; Z. Ismail; Kh. Ghaedi; H. Hamad Ghayeb

Articles in Press, Accepted Manuscript, Available Online from 24 July 2021

http://dx.doi.org/10.22044/jadm.2021.10430.2182

Abstract
  A structural health monitoring system contains two components, i.e. a data collection approach comprising a network of sensors for recording the structural responses as well as an extraction methodology in order to achieve beneficial information on the structural health condition. In this regard, data ...  Read More

Original/Review Paper
14. Water Meter Replacement Recommendation for Municipal Water Distribution Networks using Ensemble Outlier Detection Methods

F. Kaveh-Yazdy; S. Zarifzadeh

Articles in Press, Accepted Manuscript, Available Online from 24 July 2021

http://dx.doi.org/10.22044/jadm.2021.10672.2202

Abstract
  Due to their structure and usage condition, water meters face degradation, breaking, freezing, and leakage problems. There are various studies intended to determine the appropriate time to replace degraded ones. Earlier studies have used several features, such as user meteorological parameters, usage ...  Read More

Original/Review Paper
15. Object Segmentation using Local Histograms, Invasive Weed Optimization Algorithm and Texture Analysis

S. Bayatpour; Seyed M. H. Hasheminejad

Articles in Press, Accepted Manuscript, Available Online from 23 August 2021

http://dx.doi.org/10.22044/jadm.2021.10200.2158

Abstract
  Most of the methods proposed for segmenting image objects are supervised methods which are costly due to their need for large amounts of labeled data. However, in this article, we have presented a method for segmenting objects based on a meta-heuristic optimization which does not need any training data. ...  Read More

Applied Article
16. DENOVA: Predicting Five-Factor Model using Deep Learning based on ANOVA

M. Nasiri; H. Rahmani

Articles in Press, Accepted Manuscript, Available Online from 31 August 2021

http://dx.doi.org/10.22044/jadm.2021.10471.2186

Abstract
  Determining the personality dimensions of individuals is very important in psychological research. The most well-known example of personality dimensions is the Five-Factor Model (FFM). There are two approaches 1- Manual and 2- Automatic for determining the personality dimensions. In a manual approach, ...  Read More

Methodologies
17. Software Testing using an Adaptive Genetic Algorithm

A.H. Damia; M. Esnaashari; M.R. Parvizimosaed

Articles in Press, Accepted Manuscript, Available Online from 31 August 2021

http://dx.doi.org/10.22044/jadm.2021.10018.2138

Abstract
  In the structural software test, test data generation is essential. The problem of generating test data is a search problem, and for solving the problem, search algorithms can be used. Genetic algorithm is one of the most widely used algorithms in this field. Adjusting genetic algorithm parameters helps ...  Read More

Original/Review Paper
18. Multi-Sentence Hierarchical Generative Adversarial Network GAN (MSH-GAN) for Automatic Text-to-Image Generation

E. Pejhan; M. Ghasemzadeh

Articles in Press, Accepted Manuscript, Available Online from 31 August 2021

http://dx.doi.org/10.22044/jadm.2021.10837.2224

Abstract
  This research is related to the development of technology in the field of automatic text to image generation. In this regard, two main goals are pursued; first, the generated image should look as real as possible; and second, the generated image should be a meaningful description of the input text. our ...  Read More

Original/Review Paper
19. Improving Speed and Efficiency of Dynamic Programming Methods through Chaos

H. Khodadadi; V. Derhami

Articles in Press, Accepted Manuscript, Available Online from 01 September 2021

http://dx.doi.org/10.22044/jadm.2021.10520.2191

Abstract
  A prominent weakness of dynamic programming methods is that they perform operations throughout the entire set of states in a Markov decision process in every updating phase. This paper proposes a novel chaos-based method to solve the problem. For this purpose, a chaotic system is first initialized, and ...  Read More

Original/Review Paper
20. A Multi-objective Approach based on Competitive Optimization Algorithm and its Engineering Applications

Y. Sharafi; M. Teshnelab; M. Ahmadieh Khanesar

Articles in Press, Accepted Manuscript, Available Online from 01 September 2021

http://dx.doi.org/10.22044/jadm.2021.10698.2204

Abstract
  A new multi-objective evolutionary optimization algorithm is presented based on the competitive optimization algorithm (COOA) to solve multi-objective optimization problems (MOPs). Based on nature-inspired competition, the competitive optimization algorithm acts between animals such as birds, cats, bees, ...  Read More