Volume 13 (2025)
Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)

Classification of sEMG Signals for Diagnosis of Unilateral Posterior Crossbite in Primary Dentition using Fast Fourier Transform and Logistic Regression

H. Kalani; E. Abbasi

Volume 10, Issue 2 , April 2022, , Pages 151-158

https://doi.org/10.22044/jadm.2022.10908.2234

Abstract
  Posterior crossbite is a common malocclusion disorder in the primary dentition that strongly affects masticatory function. To the best of the author’s knowledge, for the first time, this article presents a reasonable and computationally efficient diagnostic system for detecting characteristics ...  Read More

Automatic Facial Expression Recognition Method Using Deep Convolutional Neural Network

Seyedeh H. Erfani

Volume 9, Issue 2 , April 2021, , Pages 153-159

https://doi.org/10.22044/jadm.2020.8801.2018

Abstract
  Facial expressions are part of human language and are often used to convey emotions. Since humans are very different in their emotional representation through various media, the recognition of facial expression becomes a challenging problem in machine learning methods. Emotion and sentiment analysis ...  Read More

Clustering Methods to Analyze Social Media Posts during Coronavirus Pandemic in Iran

F. Amiri; S. Abbasi; M. Babaie mohamadeh

Volume 10, Issue 2 , April 2022, , Pages 159-169

https://doi.org/10.22044/jadm.2022.11270.2285

Abstract
  During the COVID-19 crisis, we face a wide range of thoughts, feelings, and behaviors on social media that play a significant role in spreading information regarding COVID-19. Trustful information, together with hopeful messages, could be used to control people's emotions and reactions during pandemics. ...  Read More

H.6.3.2. Feature evaluation and selection
A Hybrid Feature Selection Technique Leveraging Principal Component Analysis And Support Vector Machines

Sayyed Mohammad Hoseini; Majid Ebtia; Mohanna Dehgardi

Volume 13, Issue 2 , April 2025, , Pages 159-173

https://doi.org/10.22044/jadm.2025.15276.2632

Abstract
  The abundance of high dimensional datasets and the computational limitations of data analysis processes in applying to high-dimensional data have made clear the importance of developing feature selection methods. The negative impact of irrelevant variables on prediction and increasing unnecessary calculations ...  Read More

Diagnosis of Multiple Sclerosis Disease in Brain MRI Images using Convolutional Neural Networks based on Wavelet Pooling

A. Alijamaat; A. Reza NikravanShalmani; P. Bayat

Volume 9, Issue 2 , April 2021, , Pages 161-168

https://doi.org/10.22044/jadm.2021.9783.2109

Abstract
  Multiple Sclerosis (MS) is a disease that destructs the central nervous system cell protection, destroys sheaths of immune cells, and causes lesions. Examination and diagnosis of lesions by specialists is usually done manually on Magnetic Resonance Imaging (MRI) images of the brain. Factors such as small ...  Read More

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

https://doi.org/10.22044/jadm.2023.12208.2374

Abstract
  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

H.3. Artificial Intelligence
An Intelligent Blockchain-Based System Configuration for Screening, Monitoring, and Tracing of Pandemics

Ali Rebwar Shabrandi; Ali Rajabzadeh Ghatari; Mohammad Dehghan nayeri; Nader Tavakoli; Sahar Mirzaei

Volume 12, Issue 2 , April 2024, , Pages 163-191

https://doi.org/10.22044/jadm.2024.14379.2541

Abstract
  This study proposes a high-level design and configuration for an intelligent dual (hybrid and private) blockchain-based system. The configuration includes the type of network, level of decentralization, nodes, and roles, block structure information, authority control, and smart contracts and intended ...  Read More

Automatic Persian Text Emotion Detection using Cognitive Linguistic and Deep Learning

Seyedeh S. Sadeghi; H. Khotanlou; M. Rasekh Mahand

Volume 9, Issue 2 , April 2021, , Pages 169-179

https://doi.org/10.22044/jadm.2020.9992.2136

Abstract
  In the modern age, written sources are rapidly increasing. A growing number of these data are related to the texts containing the feelings and opinions of the users. Thus, reviewing and analyzing of emotional texts have received a particular attention in recent years. A System which is based on combination ...  Read More

Abnormal Behavior Detection over Normal Data and Abnormal-augmented Data in Crowded Scenes

V. Fazel Asl; B. Karasfi; B. Masoumi

Volume 10, Issue 2 , April 2022, , Pages 171-183

https://doi.org/10.22044/jadm.2022.11061.2253

Abstract
  In this article, we consider the problems of abnormal behavior detection in a high-crowded environment. One of the main issues in abnormal behavior detection is the complexity of the structure patterns between the frames. In this paper, social force and optical flow patterns are used to prepare the system ...  Read More

I.3.7. Engineering
Innovative Drone Base Station Placement in 6G Networks: A Marine Predators Algorithm Approach

Saeed Khosroabadi; Hussein Aad Alaboodi

Volume 13, Issue 2 , April 2025, , Pages 175-182

https://doi.org/10.22044/jadm.2025.15484.2662

Abstract
  In the context of advancing sixth-generation (6G) communication networks, ensuring high-quality user coverage across varying geographic landscapes remains a paramount objective. Terrestrial base stations conventionally provide this coverage; however, they are susceptible to disruption due to adverse ...  Read More

ParsNER-Social: A Corpus for Named Entity Recognition in Persian Social Media Texts

M. Asgari-Bidhendi; B. Janfada; O. R. Roshani Talab; B. Minaei-Bidgoli

Volume 9, Issue 2 , April 2021, , Pages 181-192

https://doi.org/10.22044/jadm.2020.9949.2143

Abstract
  Named Entity Recognition (NER) is one of the essential prerequisites for many natural language processing tasks. All public corpora for Persian named entity recognition, such as ParsNERCorp and ArmanPersoNERCorpus, are based on the Bijankhan corpus, which is originated from the Hamshahri newspaper in ...  Read More

F.2.7. Optimization
A Pattern and Summarization Based Optimization Algorithm to QoS-Aware Web Service Composition Selection

Seyed Morteza Babamir; Narges Zahiri

Volume 13, Issue 2 , April 2025, , Pages 183-206

https://doi.org/10.22044/jadm.2025.15435.2654

Abstract
  Web service composition represents a graph of interacting services designed to fulfill user requirements, where each node denotes a service, and each edge represents an interaction between two services. A few candidates with different quality attributes exist on the web for conducting each web service. ...  Read More

Increasing Performance of Recommender Systems by Combining Deep Learning and Extreme Learning Machine

Z. Nazari; H.R. Koohi; J. Mousavi

Volume 10, Issue 2 , April 2022, , Pages 185-195

https://doi.org/10.22044/jadm.2022.11248.2279

Abstract
  Nowadays, with the expansion of the internet and its associated technologies, recommender systems have become increasingly common. In this work, the main purpose is to apply new deep learning-based clustering methods to overcome the data sparsity problem and increment the efficiency of recommender systems ...  Read More

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

https://doi.org/10.22044/jadm.2023.12383.2383

Abstract
  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

Developing a Novel Continuous Metabolic Syndrome Score: A Data Mining Based Model

M. Saffarian; V. Babaiyan; K. Namakin; F. Taheri; T. Kazemi

Volume 9, Issue 2 , April 2021, , Pages 193-202

https://doi.org/10.22044/jadm.2021.10433.2179

Abstract
  Today, Metabolic Syndrome in the age group of children and adolescents has become a global concern. In this paper, a data mining model is used to determine a continuous Metabolic Syndrome (cMetS) score using Linear Discriminate Analysis (cMetS-LDA). The decision tree model is used to specify the calculated ...  Read More

H.3. Artificial Intelligence
Selecting Optimal Moments of Chest Images by Partialized-Dual-Hybrid Feature Selection Scheme for Morphological-based COVID-19 Diagnosis

Seyed Alireza Bashiri Mosavi; Mohsen Javaherian; Omid Khalaf Beigi

Volume 12, Issue 2 , April 2024, , Pages 193-215

https://doi.org/10.22044/jadm.2024.14359.2540

Abstract
  One way of analyzing COVID-19 is to exploit X-ray and computed tomography (CT) images of the patients' chests. Employing data mining techniques on chest images can provide in significant improvements in the diagnosis of COVID-19. However, in feature space learning of chest images, there exists a large ...  Read More

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

https://doi.org/10.22044/jadm.2023.12460.2395

Abstract
  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

Distributed Online Pre-Processing Framework for Big Data Sentiment Analytics

M. Molaei; D. Mohamadpur

Volume 10, Issue 2 , April 2022, , Pages 197-205

https://doi.org/10.22044/jadm.2022.11330.2293

Abstract
  Performing sentiment analysis on social networks big data can be helpful for various research and business projects to take useful insights from text-oriented content. In this paper, we propose a general pre-processing framework for sentiment analysis, which is devoted to adopting FastText with Recurrent ...  Read More

Online Recommender System Considering Changes in User's Preference

J. Hamidzadeh; M. Moradi

Volume 9, Issue 2 , April 2021, , Pages 203-212

https://doi.org/10.22044/jadm.2020.9518.2085

Abstract
  Recommender systems extract unseen information for predicting the next preferences. Most of these systems use additional information such as demographic data and previous users' ratings to predict users' preferences but rarely have used sequential information. In streaming recommender systems, the emergence ...  Read More

Automatic Detection of Lung Nodules on Computer Tomography Scans with a Deep Direct Regression Method

Kh. Aghajani

Volume 10, Issue 2 , April 2022, , Pages 207-215

https://doi.org/10.22044/jadm.2022.11431.2303

Abstract
  Deep-learning-based approaches have been extensively used in detecting pulmonary nodules from computer Tomography (CT) scans. In this study, an automated end-to-end framework with a convolution network (Conv-net) has been proposed to detect lung nodules from CT images. Here, boundary regression has been ...  Read More

F.1. General
ISUD (Individuals with Substance Use Disorder): A Novel Metaheuristic Algorithm for Solving Optimization Problems

Farzad Zandi; Parvaneh Mansouri; Reza Sheibani

Volume 13, Issue 2 , April 2025, , Pages 207-226

https://doi.org/10.22044/jadm.2025.15175.2621

Abstract
  In the field of optimization, metaheuristic algorithms have garnered significant interest. These algorithms, which draw inspiration from natural selection, evolution, and problem-solving strategies, offer an alternative approach to solving complex optimization problems. Unlike conventional software engineering ...  Read More

An Energy-aware Real-time Task Scheduling Approach in a Cloud Computing Environment

H. Momeni; N. Mabhoot

Volume 9, Issue 2 , April 2021, , Pages 213-226

https://doi.org/10.22044/jadm.2021.10344.2171

Abstract
  Interest in cloud computing has grown considerably over recent years, primarily due to scalable virtualized resources. So, cloud computing has contributed to the advancement of real-time applications such as signal processing, environment surveillance and weather forecast where time and energy considerations ...  Read More

Improved Facial Action Unit Recognition using Local and Global Face Features

Amin Rahmati; Foad Ghaderi

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

https://doi.org/10.22044/jadm.2023.12122.2364

Abstract
  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

Automatic Visual Inspection System based on Image Processing and Neural Network for Quality Control of Sandwich Panel

V. Torkzadeh; S. Toosizadeh

Volume 10, Issue 2 , April 2022, , Pages 217-231

https://doi.org/10.22044/jadm.2022.11002.2247

Abstract
  In this study, an automatic system based on image processing methods using features based on convolutional neural networks is proposed to detect the degree of possible dipping and buckling on the sandwich panel surface by a colour camera. The proposed method, by receiving an image of the sandwich panel, ...  Read More

H.5.7. Segmentation
Enhancing Image Segmentation with Darwinian Grey Wolf Optimizer: A Novel Multilevel Thresholding Approach

Ehsan Ehsaeyan

Volume 12, Issue 2 , April 2024, , Pages 217-225

https://doi.org/10.22044/jadm.2024.14469.2550

Abstract
  This paper presents a novel approach to image segmentation through multilevel thresholding, leveraging the speed and precision of the technique. The proposed algorithm, based on the Grey Wolf Optimizer (GWO), integrates Darwinian principles to address the common stagnation issue in metaheuristic algorithms, ...  Read More