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)

Facts & Figures

(Up to Date)

Number of Volumes

10

Number of Issues

25

Article View

401,609

PDF Download

426,730

View Per Article

1231.93

PDF Download Per Article

1308.99

Reject Rate %

61

Acceptance Rate %

25

Number of Reviewers

3203

First Decision

(Approximately)

41(Days)

 

The Journal of Artificial Intelligence & Data Mining (JAIDM) is a scientific journal that aims to develop the international exchange of scientific and technical information in all areas of Artificial Intelligence and Data Mining.

 All manuscripts with significant research results in the scope of the journal are welcome if they are not published or not being considered for publication elsewhere.

Journal of Artificial Intelligence & Data Mining appears quarterly considering the increasing importance of rapid, effective, international communication. JAIDM offers:

  • Publication within a short period after acceptance
  • On-line publication in advance of the printed journal
  • One journal copy  will be sent to the corresponding author
  • Printing, Processing and Delivery without any charges

Topics of interest include, but are not limited to, the following:

  • Artificial Intelligence Algorithms, Tools & Applications
  • Data Mining and Machine Learning Tools
  • Semantic Web Techniques and Technologies
  • Soft computing theory and applications
  • Web Intelligence Applications & Search
  • Bioinformatics
  • Natural Language Processing
  • Computer Vision and Image Processing
  • Speech Understanding
  • Fuzzy Logic
  • Information Retrieval
  • Intelligent System Architectures
  • Knowledge-based/ Expert Systems
  • Automatic Control
  • Neural Networks
  • Parallel Processing
  • Pattern Recognition
  •  Software & Hardware Architectures
   

All accepted papers will be checked by iThenticate against plagiarism. 


All type papers published by JAIDM are made freely and permanently accessible online immediately upon publication. JAIDM is an "Open access" publishing allows an immediate, world-wide, barrier-free, open access to the full text of research papers, which is in the best interests of the scientific community.

High visibility for maximum global exposure with open access publishing model rigorous peer review (blind peer-review) of research papers prompt faster publication.

JAIDM has no publication charges and no submission fees.

All corresponding authors of each manuscript should be download "COPYRIGHT RELEASE FORM" from above this page then complete and sign this form by all authors and submit this form with all mandatory files which mentioned in bellow. By signing this form, copyright transfer to JAIDM.

Submission of a manuscript implies that:

1) The work described has not been published before (except in the form of an abstract or as part of a published lecture, review, or thesis).

2) It is not under consideration for publication elsewhere.

3) Its publication has been approved by all coauthors, if any, as well as by the responsible authorities at the institute where the work has been carried out.

4) Authors agree to automatic transfer of the copyright to the publisher, if and when their manuscript is accepted for publication.

5) The manuscript will not be published elsewhere.

 

JAIDM respect all aspects of publication ethics of the Committee on Publication Ethics (COPE). COPE is a forum for editors and publishers of peer reviewed journals to discuss all aspects of publication ethics. COPE provides advice to editors and publishers on all aspects of publication ethics and, in particular, how to handle cases of research and publication misconduct. COPE does not investigate individual cases but encourages editors to ensure that cases are investigated by the appropriate authorities (usually a research institution or employer).

 

Technical Paper
1. WSAMLP: Water Strider Algorithm and Artificial Neural Network-based Activity Detection Method in Smart Homes

J. Barazande; N. Farzaneh

Volume 10, Issue 1 , Winter 2022, Pages 1-13

http://dx.doi.org/10.22044/jadm.2021.10781.2215

Abstract
  One of the crucial applications of IoT is developing smart cities via this technology. Smart cities are made up of smart components such as smart homes. In smart homes, a variety of sensors are used for making the environment smart, and the smart things, in such homes, can be used for detecting the activities ...  Read More

Original/Review Paper
2. Question Classification in Question Answering System using Combination of Ensemble Classification and Feature Selection

Sh. Golzari; F. Sanei; M.R. Saybani; A. Harifi​; M. Basir

Volume 10, Issue 1 , Winter 2022, Pages 15-24

http://dx.doi.org/10.22044/jadm.2021.10016.2142

Abstract
  A Question Answering System (QAS) is a special form of information retrieval which consists of three parts: question processing, information retrieval, and answer selection. Determining the type of question is the most important part of QAS as it affects other following parts. This study uses effective ...  Read More

Original/Review Paper
3. Optimizing CELF Algorithm for Influence Maximization Problem in Social Networks

M. Taherinia; M. Esmaeili; B. Minaei Bidgoli

Volume 10, Issue 1 , Winter 2022, Pages 25-41

http://dx.doi.org/10.22044/jadm.2021.10964.2254

Abstract
  The Influence Maximization Problem in social networks aims to find a minimal set of individuals to produce the highest influence on other individuals in the network. In the last two decades, a lot of algorithms have been proposed to solve the time efficiency and effectiveness challenges of this NP-Hard ...  Read More

Original/Review Paper
4. Reconstruction of 3D Stack of Stars in Cardiac MRI using a Combination of GRASP and TV

M. Tavakkoli; A. Ebrahimzadeh; A. Nasiraei Moghaddam; J. Kazemitabar

Volume 10, Issue 1 , Winter 2022, Pages 43-51

http://dx.doi.org/10.22044/jadm.2021.10232.2161

Abstract
  One of the most advanced non-invasive medical imaging methods is MRI that can make a good contrast between soft tissues. The main problem with this method is the time limitation in data acquisition, particularly in dynamic imaging. Radial sampling is an alternative for faster data acquisition and has ...  Read More

Original/Review Paper
5. Automatic Shadow Direction Determination using Shadow Low Gradient Direction Feature in RGB VHR Remote Sensing Images

M. Kakooei; Y. Baleghi

Volume 10, Issue 1 , Winter 2022, Pages 53-61

http://dx.doi.org/10.22044/jadm.2021.10705.2205

Abstract
  Shadow detection provides worthwhile information for remote sensing applications, e.g. building height estimation. Shadow areas are formed in the opposite side of the sunlight radiation to tall objects, and thus, solar illumination angle is required to find probable shadow areas. In recent years, Very ...  Read More

Original/Review Paper
6. Deformable 3D Shape Matching to Try on Virtual Clothes via Laplacian-Beltrami Descriptor

H. Fathi; A.R. Ahmadyfard; H. Khosravi

Volume 10, Issue 1 , Winter 2022, Pages 63-74

http://dx.doi.org/10.22044/jadm.2021.10749.2212

Abstract
  Recently, significant attention has been paid to the development of virtual reality systems in several fields such as commerce. Trying on virtual clothes is becoming a solution for the online clothing industry. In this paper, we propose a method for the problem of virtual clothing using 3D point matching ...  Read More

Review Article
7. A New Learning-based Spatiotemporal Descriptor for Online Symbol Recognition

M. Sepahvand; F. Abdali-Mohammadi

Volume 10, Issue 1 , Winter 2022, Pages 75-86

http://dx.doi.org/10.22044/jadm.2022.11150.2262

Abstract
  The success of handwriting recognition methods based on digitizer-pen signal processing is mostly dependent on the defined features. Strong and discriminating feature descriptors can play the main role in improving the accuracy of pattern recognition. Moreover, most recognition studies utilize local ...  Read More

Original/Review Paper
8. Customer Behavior Analysis to Improve Detection of Fraudulent ‎Transactions using Deep Learning

F. Baratzadeh; Seyed M. H. Hasheminejad

Volume 10, Issue 1 , Winter 2022, Pages 87-101

http://dx.doi.org/10.22044/jadm.2022.10124.2151

Abstract
  With the advancement of technology, the daily use of bank credit cards has been increasing exponentially. Therefore, the fraudulent use of credit cards by others as one of the new crimes is also growing fast. For this reason, detecting and preventing these attacks has become an active area of study. ...  Read More

Original/Review Paper
9. A Clustering-Classification Recommender System based on Firefly Algorithm

H.R. Koosha; Z. Ghorbani; R. Nikfetrat

Volume 10, Issue 1 , Winter 2022, Pages 103-116

http://dx.doi.org/10.22044/jadm.2021.10782.2216

Abstract
  In the last decade, online shopping has played a vital role in customers' approach to purchasing different products, providing convenience to shop and many benefits for the economy. E-commerce is widely used for digital media products such as movies, images, and software. So, recommendation systems are ...  Read More

Original/Review Paper
10. Persian Phoneme and Syllable Recognition using Recurrent Neural Networks for Phonological Awareness Assessment

M. Khanzadi; H. Veisi; R. Alinaghizade; Z. Soleymani

Volume 10, Issue 1 , Winter 2022, Pages 117-126

http://dx.doi.org/10.22044/jadm.2022.11185.2268

Abstract
  One of the main problems in children with learning difficulties is the weakness of phonological awareness (PA) skills. In this regard, PA tests are used to evaluate this skill. Currently, this assessment is paper-based for the Persian language. To accelerate the process of the assessments and make it ...  Read More

Original/Review Paper
11. Reward and Penalty Model for the Lighting of Public Thoroughfares Contracts: An Empirical Study in a Distribution Company

R. Ghotboddini; H. Toossian Shandiz

Volume 10, Issue 1 , Winter 2022, Pages 127-138

http://dx.doi.org/10.22044/jadm.2021.10730.2210

Abstract
  Lighting continuity is one of the preferences of citizens. Public lighting management from the viewpoint of city residents improves social welfare. The quality of lamps and duration of lighting defect correction is important in lighting continuity. In this regard, reward and penalty mechanism plays an ...  Read More

Original/Review Paper
12. Text Sentiment Classification based on Separate Embedding of Aspect and Context

A. Lakizadeh; E. Moradizadeh

Volume 10, Issue 1 , Winter 2022, Pages 139-149

http://dx.doi.org/10.22044/jadm.2021.11022.2249

Abstract
  Text sentiment classification in aspect level is one of the hottest research topics in the field of natural language processing. The purpose of the aspect-level sentiment analysis is to determine the polarity of the text according to a particular aspect. Recently, various methods have been developed ...  Read More

1. Credit scoring in banks and financial institutions via data mining techniques: A literature review

Seyed Mahdi sadatrasoul; Mohammadreza gholamian; Mohammad Siami; Zeynab Hajimohammadi

Volume 1, Issue 2 , Summer 2013, , Pages 119-129

http://dx.doi.org/10.22044/jadm.2013.124

Abstract
  This paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in Credit scoring. Yet there isn’t any literature in the field of data mining applications in credit scoring. Using a novel research approach, this paper investigates ...  Read More

H.5. Image Processing and Computer Vision
2. Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks

M. Amin-Naji; A. Aghagolzadeh

Volume 6, Issue 2 , Summer 2018, , Pages 233-250

http://dx.doi.org/10.22044/jadm.2017.5169.1624

Abstract
  The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced ...  Read More

3. Outlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis

Mohammad Ahmadi Livani; mahdi Abadi; Meysam Alikhany; Meisam Yadollahzadeh Tabari

Volume 1, Issue 1 , Winter 2013, , Pages 1-11

http://dx.doi.org/10.22044/jadm.2013.98

Abstract
  Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient ...  Read More

4. QoS-Based web service composition based on genetic algorithm

Mohammad AllamehAmiri; Vali Derhami; Mohammad Ghasemzadeh

Volume 1, Issue 2 , Summer 2013, , Pages 63-73

http://dx.doi.org/10.22044/jadm.2013.97

Abstract
  Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, and security. In recent years, the number of available ...  Read More

5. On improving APIT algorithm for better localization in WSN

Seyed M. Hosseinirad; M. Niazi; J Pourdeilami; S. K. Basu; A. A. Pouyan

Volume 2, Issue 2 , Summer 2014, , Pages 97-104

http://dx.doi.org/10.22044/jadm.2014.148

Abstract
  In Wireless Sensor Networks (WSNs), localization algorithms could be range-based or range-free. The Approximate Point in Triangle (APIT) is a range-free approach. We propose modification of the APIT algorithm and refer as modified-APIT. We select suitable triangles with appropriate distance between anchors ...  Read More

Original/Review Paper
1. Classification of sEMG Signals for Diagnosis of Unilateral Posterior Crossbite in Primary Dentition using Fast Fourier Transform and Logistic Regression

H. Kalani; E. Abbasi

Articles in Press, Accepted Manuscript, Available Online from 19 February 2022

http://dx.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

Original/Review Paper
2. A Novel Classification and Diagnosis of Multiple Sclerosis Method using Artificial Neural Networks and Improved Multi-Level Adaptive Conditional Random Fields

Seyedeh R. Mahmudi Nezhad Dezfouli; Y. Kyani; Seyed A. Mahmoudinejad Dezfouli

Articles in Press, Accepted Manuscript, Available Online from 27 February 2022

http://dx.doi.org/10.22044/jadm.2021.10647.2201

Abstract
  Due to the small size, low contrast, variable position, shape, and texture of multiple sclerosis lesions, one of the challenges of medical image processing is the automatic diagnosis and segmentation of multiple sclerosis lesions in Magnetic resonance images. Early diagnosis of these lesions in the first ...  Read More

Original/Review Paper
3. Clustering Methods to Analyze Social Media Posts during Coronavirus Pandemic in Iran

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

Articles in Press, Accepted Manuscript, Available Online from 11 April 2022

http://dx.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

Technical Paper
4. Abnormal Behavior Detection over Normal Data and Abnormal-augmented Data in Crowded Scenes

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

Articles in Press, Accepted Manuscript, Available Online from 12 April 2022

http://dx.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

Original/Review Paper
5. Increasing Performance of Recommender Systems by Combining Deep Learning and Extreme Learning Machine

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

Articles in Press, Accepted Manuscript, Available Online from 13 April 2022

http://dx.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

Applied Article
6. Distributed Online Pre-Processing Framework for Big Data Sentiment Analytics

M. Molaei; D. Mohamadpur

Articles in Press, Accepted Manuscript, Available Online from 17 April 2022

http://dx.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

Original/Review Paper
7. A hybridization method of prototype generation and prototype selection for K-NN rule based on GSA

M. Rezaei; H. Nezamabadi-pour

Articles in Press, Accepted Manuscript, Available Online from 26 April 2022

http://dx.doi.org/10.22044/jadm.2021.10159.2154

Abstract
  The present study aims to overcome some defects of the K-nearest neighbor (K-NN) rule. Two important data preprocessing methods to elevate the K-NN rule are prototype selection (PS) and prototype generation (PG) techniques. Often the advantage of these techniques is investigated separately. In this paper, ...  Read More

Original/Review Paper
8. Detecting Group Review Spammers in Social Media

Zeinab Teimoori; Mostafa Salehi; Vahid Ranjbar; Saeedreza Shehnepoor; Shaghayegh Najari

Articles in Press, Accepted Manuscript, Available Online from 26 April 2022

http://dx.doi.org/10.22044/jadm.2022.10981.2245

Abstract
  Nowadays, some e-advice websites and social media like e-commerce businesses, provide not only their goods but a new way that their customers can give their opinions about products. Meanwhile, there are some review spammers who try to promote or demote some specific products by writing fraud reviews. ...  Read More

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

Kh. Aghajani

Articles in Press, Accepted Manuscript, Available Online from 26 April 2022

http://dx.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

Original/Review Paper F.2. Numerical Analysis
10. Upgrading the Human Development Index (HDI) to control pandemic mortality rates: A data mining approach to COVID-19

Saba Sareminia

Articles in Press, Accepted Manuscript, Available Online from 04 May 2022

http://dx.doi.org/10.22044/jadm.2022.11503.2307

Abstract
  In recent years, the occurrence of various pandemics (COVID-19, SARS, etc.) and their widespread impact on human life have led researchers to focus on their pathology and epidemiology components. One of the most significant inconveniences of these epidemics is the human mortality rate, which has highly ...  Read More

Original/Review Paper
11. Automatic Visual Inspection System based on Image Processing and Neural Network for Quality Control of Sandwich Panel

V. Torkzadeh; S. Toosizadeh

Articles in Press, Accepted Manuscript, Available Online from 06 May 2022

http://dx.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

Original/Review Paper
12. A Hybrid Deep Network Representation Model for Detecting Researchers’ Communities

A. Torkaman; K. Badie; A. Salajegheh; M. H. Bokaei; Seyed F. Fatemi

Articles in Press, Accepted Manuscript, Available Online from 06 May 2022

http://dx.doi.org/10.22044/jadm.2022.11243.2277

Abstract
  Recently, network representation has attracted many research works mostly concentrating on representing of nodes in a dense low-dimensional vector. There exist some network embedding methods focusing only on the node structure and some others considering the content information within the nodes. In this ...  Read More

Original/Review Paper
13. Voice Activity Detection using Clustering-based Method in Spectro-Temporal Features Space

N. Esfandian; F. Jahani bahnamiri; S. Mavaddati

Articles in Press, Accepted Manuscript, Available Online from 14 May 2022

http://dx.doi.org/10.22044/jadm.2022.11439.2304

Abstract
  This paper proposes a novel method for voice activity detection based on clustering in spectro-temporal domain. In the proposed algorithms, auditory model is used to extract the spectro-temporal features. Gaussian Mixture Model and WK-means clustering methods are used to decrease dimensions of the spectro-temporal ...  Read More

Original/Review Paper
14. A New Approach to Estimate Motion and Structure of a Moving Rigid Object in a 3D Space with a Single Hand-held Camera

R. Serajeh; A. Mousavinia; F. Safaei

Articles in Press, Accepted Manuscript, Available Online from 14 May 2022

http://dx.doi.org/10.22044/jadm.2022.11167.2267

Abstract
  Classical SFM (Structure From Motion) algorithms are widely used to estimate the three-dimensional structure of a stationary scene with a moving camera. However, when there are moving objects in the scene, if the equation of the moving object is unknown, the approach fails. This paper first demonstrates ...  Read More

Original/Review Paper
15. AgriNet: a new classifying convolutional neural network for detecting agricultural products’ diseases

F. Salimian Najafabadi; M. T. Sadeghi

Articles in Press, Accepted Manuscript, Available Online from 21 May 2022

http://dx.doi.org/10.22044/jadm.2022.11360.2295

Abstract
  An important sector that has a significant impact on the economies of countries is the agricultural sector. Researchers are trying to improve this sector by using the latest technologies. One of the problems facing farmers in the agricultural activities is plant diseases. If a plant problem is diagnosed ...  Read More

Viewpoint/Perspective/Opinion
16. Q-LVS: A Q-learning-based algorithm for video streaming in peer-to-peer networks considering a token-based incentive mechanism

Z. Imanimehr

Articles in Press, Accepted Manuscript, Available Online from 21 May 2022

http://dx.doi.org/10.22044/jadm.2022.11293.2287

Abstract
  Peer-to-peer video streaming has reached great attention during recent years. Video streaming in peer-to-peer networks is a good way to stream video on the Internet due to the high scalability, high video quality, and low bandwidth requirements. In this paper the issue of live video streaming in peer-to-peer ...  Read More

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