Journal of AI and Data Mining

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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

13
Number of Articles

461

Number of Issues

38

Article View

732,025

PDF Download

625,106

View Per Article

1587.91

PDF Download Per Article

1355.98

Reject Rate %

55

Acceptance Rate %

27

Number of Reviewers

3336

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.5. Image Processing and Computer Vision
A Hybrid Deep Learning Framework for Detecting Bipolar Disorder Through Persian Handwriting Patterns

Khosro Rezaee

Volume 13, Issue 2 , April 2025, Pages 119-133

https://doi.org/10.22044/jadm.2025.15456.2658

Abstract
  Bipolar disorder (BD) remains a pervasive mental health challenge, demanding innovative diagnostic approaches beyond traditional, subjective assessments. This study pioneers a non-invasive handwriting-based diagnostic framework, leveraging the unique interplay between psychological states and motor expressions ...  Read More
Original/Review Paper B.3. Communication/Networking and Information Technology
Dynamic Sensors Assignment to Improving Lifetime Wireless Sensor Networks

Ali Abdi Seyedkolaei

Volume 13, Issue 2 , April 2025, Pages 135-144

https://doi.org/10.22044/jadm.2025.15440.2655

Abstract
  Deploying multiple sinks instead of a single sink is one possible solution to improve the lifetime and durability of wireless sensor networks. Using multiple sinks leads to the definition of a problem known as the sink placement problem. In this context, the goal is to determine the optimal locations ...  Read More
Original/Review Paper H.3. Artificial Intelligence
Employing Chaos Theory for Exploration-Exploitation Balance in Reinforcement Learning

Habib Khodadadi; Vali Derhami

Volume 13, Issue 2 , April 2025, Pages 145-157

https://doi.org/10.22044/jadm.2025.15292.2633

Abstract
  The exploration-exploitation trade-off poses a significant challenge in reinforcement learning. For this reason, action selection methods such as ε-greedy and Soft-Max approaches are used instead of the greedy method. These methods use random numbers to select an action that balances exploration ...  Read More
Methodologies 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
Applied Article 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
Original/Review Paper 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
Original/Review Paper 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
Original/Review Paper H.3. Artificial Intelligence
Multi-Head Self-Attention Fusion Network for Enhanced Multi-Class Crop Disease Classification

Thomas Njoroge Kinyanjui; Kelvin Mugoye; Rachael Kibuku

Volume 13, Issue 2 , April 2025, Pages 227-240

https://doi.org/10.22044/jadm.2025.15689.2687

Abstract
  This paper presents a Multi-Head Self-Attention Fusion Network (MHSA-FN) for real-time crop disease classification, addressing key limitations in existing models, including suboptimal feature extraction, inefficient feature recalibration, and weak multi-scale fusion. Unlike prior works that rely solely ...  Read More
Original/Review Paper I.5. Social and Behavioral Sciences
Exploring the Relationship between User Posts and List Subscription Behaviors on Twitter/X

Havva Alizadeh Noughabi

Volume 13, Issue 2 , April 2025, Pages 241-249

https://doi.org/10.22044/jadm.2025.15715.2688

Abstract
  Social media platforms have transformed information consumption, offering personalized features that enhance engagement and streamline content discovery. Among these, the Twitter Lists functionality allows users to curate content by grouping accounts based on shared themes, fostering focused interactions ...  Read More
Original/Review Paper H.3.8. Natural Language Processing
ConSPro: Context-Aware Stance Detection Using Zero-Shot Prompting

Milad Allahgholi; Hossein Rahmani; Parinaz Soltanzadeh

Volume 13, Issue 2 , April 2025, Pages 251-260

https://doi.org/10.22044/jadm.2025.15250.2629

Abstract
  Stance detection is the process of identifying and classifying an author's point of view or stance towards a specific target in a given text. Most of previous studies on stance detection neglect the contextual information hidden in the input data and as a result lead to less accurate results. In this ...  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
Technical Paper
Improving the Hierarchical Classification of Protein Families and Model Interpretation with the Grad-CAM Method and Transformers

Naeimeh Mohammad Karimi; Mehdi Rezaeian

Articles in Press, Accepted Manuscript, Available Online from 30 April 2025

https://doi.org/10.22044/jadm.2025.15493.2667

Abstract
  In the era of massive data, analyzing bioinformatics fields and discovering its functions are very important. The rate of sequence generation using sequence generation techniques is increasing rapidly, and researchers are faced with many unknown functions. One of the essential operations in bioinformatics ...  Read More
Original/Review Paper
A Phenology Based Paddy Rice Mapping by Correlation Analysis on Sentinel-1/2 Imagery in Fragmented Lands Using GEE Platform

Fateme Namazi; Mehdi Ezoji; Ebadat Ghanbari Parmehr

Articles in Press, Accepted Manuscript, Available Online from 03 May 2025

https://doi.org/10.22044/jadm.2025.15379.2639

Abstract
  Paddy fields in the north of Iran are highly fragmented, leading to challenges in accurately mapping them using remote sensing techniques. Cloudy weather often degrades image quality or renders images unusable, further complicating monitoring efforts. This paper presents a novel paddy rice mapping method ...  Read More
Technical Paper
Anomaly Detection in IoT Traffic in the Presence of Gaussian Noise Using Deep Neural Networks

Roya Morshedi; S. Mojtaba Matinkhah

Articles in Press, Accepted Manuscript, Available Online from 06 May 2025

https://doi.org/10.22044/jadm.2025.15672.2684

Abstract
  The Internet of Things (IoT) is a rapidly growing domain essential for modern smart services. However, resource limitations in IoT nodes create significant security vulnerabilities, making them prone to cyberattacks. Deep learning models have emerged as effective tools for detecting anomalies in IoT ...  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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