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)

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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).


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

Maryam Khodabakhsh; Fahimeh Hafezi

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

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 , July 2013, , Pages 119-129


  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
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 , July 2018, , Pages 233-250


  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

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 , March 2013, , Pages 1-11


  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

QoS-Based web service composition based on genetic algorithm

Mohammad AllamehAmiri; Vali Derhami; Mohammad Ghasemzadeh

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


  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

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 , July 2014, , Pages 97-104


  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

Technical Paper B.3. Communication/Networking and Information Technology
On Optimizing Mobile Charger Scheduling in Wireless Sensor Networks

Newsha Nowrozian; Farzad Tashtarian; Yahya Forghani

Articles in Press, Accepted Manuscript, Available Online from 19 July 2023


  Wireless rechargeable sensor networks (WRSNs) are widely used in many fields. However, the limited battery capacity of sensor nodes (SNs) prevents its development. To extend the battery life of SNs, they can be charged by a mobile charger (MC) equipped with radio frequency-based wireless power transfer ...  Read More

Original/Review Paper H.6.3.3. Pattern analysis
Hidden Patterns Discovery on Clinical Data: An Approach based on Data Mining Techniques

Meysam Roostaee; Razieh Meidanshahi

Articles in Press, Accepted Manuscript, Available Online from 22 July 2023


  In this study, we sought to minimize the need for redundant blood tests in diagnosing common diseases by leveraging unsupervised data mining techniques on a large-scale dataset of over one million patients' blood test results. We excluded non-numeric and subjective data to ensure precision. To identify ...  Read More

Review Article H.3. Artificial Intelligence
Application of Machine Learning algorithms in improving nano-based solar cell technology

Saheb Ghanbari Motlagh; Fateme Razi Astaraei; Mojtaba Hajihosseini; Saeed Madani

Articles in Press, Accepted Manuscript, Available Online from 20 August 2023


  This study explores the potential use of Machine Learning (ML) techniques to enhance three types of nano-based solar cells. Perovskites of methylammonium-free formamidinium (FA) and mixed cation-based cells exhibit a boosted efficiency when employing ML techniques. Moreover, ML methods are utilized to ...  Read More

Original/Review Paper H.3. Artificial Intelligence
Designing a Serious Game for Children with Autism using Reinforcement Learning and Fuzzy Logic

Amirhossein Khabbaz; Mansoor Fateh; Ali Pouyan; Mohsen Rezvani

Articles in Press, Accepted Manuscript, Available Online from 20 August 2023


  Autism spectrum disorder (ASD) is a collection of inconstant characteristics. Anomalies in reciprocal social communications and disabilities in perceiving communication patterns characterize These features. Also, exclusive repeated interests and actions identify ASD. Computer games have affirmative effects ...  Read More

Original/Review Paper H.3.7. Learning
Tree Bark Classification using Color-improved Local Quinary Pattern and Stacked MEETG

Laleh Armi; Elham Abbasi

Articles in Press, Accepted Manuscript, Available Online from 20 August 2023


  In this paper, we propose an innovative classification method for tree bark classification and tree species identification. The proposed method consists of two steps. In the first step, we take the advantages of ILQP, a rotationally invariant, noise-resistant, and fully descriptive color texture feature ...  Read More

Original/Review Paper H.3. Artificial Intelligence
Mehr: A Persian Coreference Resolution Corpus

Hassan Haji Mohammadi; Alireza Talebpour; Ahamd Mahmoudi Aznaveh; Samaneh Yazdani

Articles in Press, Accepted Manuscript, Available Online from 05 September 2023


  Coreference resolution is one of the essential tasks of natural languageprocessing. This task identifies all in-text expressions that refer to thesame entity in the real world. Coreference resolution is used in otherfields of natural language processing, such as information extraction,machine translation, ...  Read More

Applied Article Document and Text Processing
DcDiRNeSa, Drug Combination Prediction by Integrating Dimension Reduction and Negative Sampling Techniques

Mina Tabatabaei; Hossein Rahmani; Motahareh Nasiri

Articles in Press, Accepted Manuscript, Available Online from 10 September 2023


  The search for effective treatments for complex diseases, while minimizing toxicity and side effects, has become crucial. However, identifying synergistic combinations of drugs is often a time-consuming and expensive process, relying on trial and error due to the vast search space involved. Addressing ...  Read More

Research Note H.5. Image Processing and Computer Vision
An optimal hybrid method to detect copy-move forgery

Fatemeh zare mehrjardi; Alimohammad Latif; mohsen sardari zarchi

Articles in Press, Accepted Manuscript, Available Online from 10 September 2023


  Image is a powerful communication tool that is widely used in various applications, such as forensic medicine and court, where the validity of the image is crucial. However, with the development and availability of image editing tools, image manipulation can be easily performed for a specific purpose. ...  Read More

Technical Paper F.2.7. Optimization
Better Neighbors, Longer Life: an Energy Efficient Cluster Head Selection Algorithm in Wireless Sensor Networks based on Particle Swarm Optimization

Mahsa Dehbozorgi; Pirooz Shamsinejadbabaki; Elmira Ashoormahani

Articles in Press, Accepted Manuscript, Available Online from 23 September 2023


  Clustering is one of the most effective techniques for reducing energy consumption in wireless sensor networks. But selecting optimum cluster heads (CH) as relay nodes has remained as a very challenging task in clustering. All current state of the art methods in this era only focus on the individual ...  Read More

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