Journal of AI and Data Mining

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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)

Facts & Figures

(Up to Date)

Number of Volumes

14
Number of Articles

500

Number of Issues

43

Article View

909,291

PDF Download

755,806

View Per Article

1818.58

PDF Download Per Article

1511.61

Reject Rate %

52

Acceptance Rate %

26

Number of Reviewers

3403

First Decision

(Approximately)

40(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).

 

Original/Review Paper H.6.5.2. Computer vision
Detection of Driver Distraction Using Spatio-Temporal Graph Convolutional Networks (ST-GCN) and Attention Mechanism

Mahdi Davari; Razieh Rastgoo

Volume 14, Issue 3 , July 2026

https://doi.org/10.22044/jadm.2025.16157.2735

Abstract
  Detecting driver distraction is critically important, as it remains a major contributor to road accidents and traffic-related injuries worldwide. This study introduces a novel hybrid deep learning model that integrates Spatio-Temporal Graph Convolutional Networks (ST-GCN) with a Transformer Encoder and ...  Read More
Iranian Vehicle Images Dataset for Object Detection Algorithm
Volume 12, Issue 1 , January 2024, , Pages 127-136

https://doi.org/10.22044/jadm.2024.13858.2501

Abstract
  Providing a dataset with a suitable volume and high accuracy for training deep neural networks is considered to be one of the basic requirements in that a suitable dataset in terms of the number and quality of images and labeling accuracy can have a great impact on the output accuracy of the trained ...  Read More
Credit scoring in banks and financial institutions via data mining techniques: A literature review
Volume 1, Issue 2 , July 2013, , Pages 119-129

https://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
Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks
Volume 6, Issue 2 , July 2018, , Pages 233-250

https://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
Outlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis
Volume 1, Issue 1 , March 2013, , Pages 1-11

https://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
QoS-Based web service composition based on genetic algorithm
Volume 1, Issue 2 , July 2013, , Pages 63-73

https://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
Original/Review Paper
Skeleton-Based Sign Language Generation Using a Transformer-based Generative Model

Rozhin Mohammadizand; Razieh Rastgoo

Articles in Press, Accepted Manuscript, Available Online from 10 February 2026

https://doi.org/10.22044/jadm.2025.16369.2759

Abstract
  Sign language is a structured, non-vocal form of communication primarily used by individuals who are deaf or hard of hearing, who often face challenges interacting with non-signers. To address this, translation systems between sign and spoken language are essential, encompassing sign language recognition ...  Read More
Applied Article
Categorizing Rules from the Expurgation Point of View using Large Language Models.

Hassan Deldar; Mohammad Mehdi Homayounpour

Articles in Press, Accepted Manuscript, Available Online from 06 June 2026

https://doi.org/10.22044/jadm.2026.16400.2763

Abstract
  In most of the countries, the legislative process has a long history, which has led to increasing diversity and multiplicity of laws. This has made it difficult to access laws that are valid in both time and place. The focus of this article is on the application of artificial intelligence in the domain ...  Read More
Original/Review Paper
BCOFF: A Blockchain-Based Framework with Consensus Protocol to Enhance Efficiency and Ensure Integrity in Fog Computing Offloading

Somayyeh Jafarali Jassbi; Sajjad Daliri

Articles in Press, Accepted Manuscript, Available Online from 06 June 2026

https://doi.org/10.22044/jadm.2026.16548.2777

Abstract
  The rapid growth of the Internet‑of‑Things (IoT) imposes significant challenges on task offloading in fog environments, including service latency, resource constraints, and trust management. Fog computing mitigates these limitations by moving computation and storage closer to end devices. This paper ...  Read More
Original/Review Paper
Unveiling Latent Structures: Personalized Restaurant Recommendations via Machine Learning}

mohammad khaki; fereshte dehghani

Articles in Press, Accepted Manuscript, Available Online from 06 June 2026

https://doi.org/10.22044/jadm.2026.16679.2795

Abstract
  The exponential growth of online food platforms has transformed restaurant discovery, yet traditional recommendation systems often struggle with the "cold-start problem" and the inability to capture latent synergies between restaurant attributes. This study proposes a multi-stage machine learning framework ...  Read More
Original/Review Paper
A Deep Learning Approach for Authentication of Original and Non-Original Bank-Issued Gold Coins with Non-Uniform Directions in the Financial Market

Mohammad M. AlyanNezhadi; Hesamoddin Pourrostami; Mousa Nazari; Farzan Afshari

Articles in Press, Accepted Manuscript, Available Online from 06 June 2026

https://doi.org/10.22044/jadm.2025.16177.2738

Abstract
  In Iran’s financial market, the authentication of gold coins is majorly required for transparency, reducing fraud, and proper valuation. Differentiating between bank-issued and non-bank-issued coins pose a challenge as their appearance is almost the same. This paper suggests a classification method ...  Read More
Technical Paper
DOTA-Draft: A Dataset for In-Game Recommendation in Multiplayer Online Battle Arenas

Mohammadreza Mohammadnejad; Morteza Dorrigiv; Farzin Yaghmaee

Articles in Press, Accepted Manuscript, Available Online from 06 June 2026

https://doi.org/10.22044/jadm.2026.16888.2819

Abstract
  Research in recommender systems has largely relied on standardized datasets such as MovieLens, Amazon Reviews, and Last.fm. However, these datasets are unsuitable for in-game recommendations, particularly in Multiplayer Online Battle Arenas (MOBAs), due to the sequential, team-based, and adversarial ...  Read More
Original/Review Paper
Ensemble of EfficientNet B1 and ResNet 101 with Attention Mechanism for Brain Tumor Classification in MRI Images

Amirhossein Zare Kordkheili; Amirreza Zare Kordkheili; Sekine Asadi Amiri

Articles in Press, Accepted Manuscript, Available Online from 06 June 2026

https://doi.org/10.22044/jadm.2026.17084.2845

Abstract
  Brain tumor detection is a critical task in medical imaging, requiring accurate and reliable methods. Recent advancements in deep learning have shown great potential in this field. In this article, we present a novel method for brain tumor detection based on a Convolutional Block Attention Module (CBAM) ...  Read More
Technical Paper
Enhanced Breast Cancer Detection using Hybrid Feature Extraction through Machine Learning and Deep Learning Techniques

Naga Subrahmanyeswari Nimmakayala; Krishna Prasad M H M

Articles in Press, Accepted Manuscript, Available Online from 06 June 2026

https://doi.org/10.22044/jadm.2026.17095.2846

Abstract
  Breast cancer detection is critical for early diagnosis and treatment. This paper utilized the BreakHis dataset, comprising 7,907 histopathological images of breast tumors (benign and malignant) captured at varying magnification levels. Initially, a basic CNN was applied, followed by advanced deep learning ...  Read More
Journal of AI and Data Mining

Publisher:
Shahrood University of Technology

Editor-in-Chief:
Hamid Hassanpour

Manager:
Ali Meskaryan

Executive Manager:
Akram Gholami

Frequency: Quarterly

Print ISSN: 2322-5211

Online ISSN: 2322-4444

Indexing and Abstracting

Directory of Open Access Journals (DOAJ)

Google Scholar

InfoBase Index (IBI Factor = 3.3) 2015-16

Universal Impact Factor (IF= 0.1266) 2014

Islamic World Science Citation Center(ISC) (IF= 0.4)

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