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

448

Number of Issues

37

Article View

702,605

PDF Download

601,177

View Per Article

1568.31

PDF Download Per Article

1341.91

Reject Rate %

57

Acceptance Rate %

27

Number of Reviewers

3310

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.3.15.3. Evolutionary computing and genetic algorithms
An Evaluation of New Meta-heuristics for Virtual Machine Placement in Cloud Data Centers

Mohsen Kiani; Mohammad Reza Khayyambashi

Volume 13, Issue 1 , January 2025, Pages 1-10

https://doi.org/10.22044/jadm.2025.14987.2597

Abstract
  The present study investigates the effectiveness of several new meta-heuristic (MH) methods in solving virtual machine (VM) to physical machine (PM) placement (VMP) in cloud data centers. More specifically, Coati optimization algorithm (COA) is properly adapted for solving VMP by introducing several ...  Read More

Technical Paper H.6.5.14. Text processing
Enhancing the Quality of Scientific Writing Using Advanced Language Models: Automated Evaluation and Proofreading

Amir Ali Kharazmi; Hamid Hassanpour

Volume 13, Issue 1 , January 2025, Pages 11-24

https://doi.org/10.22044/jadm.2025.15482.2661

Abstract
  Advancements in artificial intelligence have produced powerful language models that enhance scientific writing through automated evaluation and proofreading. Effective use of these models relies on prompt engineering—the precise formulation of requests—which directly influences output quality. ...  Read More

Original/Review Paper H.3.2.2. Computer vision
Improving the Efficiency of Semantic Segmentation Implemented in Spiking Neural Networks

Elahe Yadolahi; Sheis Abolmaali

Volume 13, Issue 1 , January 2025, Pages 25-39

https://doi.org/10.22044/jadm.2025.15076.2612

Abstract
  Semantic segmentation is a critical task in computer vision, focused on extracting and analyzing detailed visual information. Traditional artificial neural networks (ANNs) have made significant strides in this area, but spiking neural networks (SNNs) are gaining attention for their energy efficiency ...  Read More

Original/Review Paper H.7. Simulation, Modeling, and Visualization
What Drives House Prices? A Linear Regression Approach to Size, Condition, and Features

Ju Xiaolin; Vaskar Chakma; Misbahul Amin; Arkhid Chakma Joy

Volume 13, Issue 1 , January 2025, Pages 41-51

https://doi.org/10.22044/jadm.2025.15529.2668

Abstract
  This research examines the key factors influencing house prices, focusing on how size, condition, and structural features contribute to property valuation. Using a dataset from Washington State, USA, covering the year 2014 with over 4,600 entries, a multivariate analysis was conducted with a Linear Regression ...  Read More

Original/Review Paper F.2.7. Optimization
Analyzing the Performance of the Red Deer Optimization Algorithm in Comparison to Other Metaheuristic Algorithms

Soheil Rezashoar; Amir Abbas Rassafi

Volume 13, Issue 1 , January 2025, Pages 53-61

https://doi.org/10.22044/jadm.2025.14868.2586

Abstract
  This study performs a thorough comparative analysis of the Red Deer Optimization Algorithm (RDOA) in comparison to five well-established metaheuristic algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), and Whale Optimization ...  Read More

Original/Review Paper H.3. Artificial Intelligence
Applying Intuitionistic Fuzzy Sets to Improve Fuzzy Content-based Image Retrieval Systems

Monireh Azimi Hemat; Ezat Valipour; Laya Ali Ahmadipoor

Volume 13, Issue 1 , January 2025, Pages 63-73

https://doi.org/10.22044/jadm.2025.14597.2568

Abstract
  Visual features extracted from images in content-based image retrieval systems are inherently ambiguous. Consequently, applying fuzzy sets for image indexing in image retrieval systems has improved efficiency. In this article, the intuitionistic fuzzy sets are used to enhance the performance of the Fuzzy ...  Read More

Original/Review Paper H.5. Image Processing and Computer Vision
Hybrid Image Inpainting: Combining Low-rank Minimization and Spline-based Approach

Kimia Peyvandi

Volume 13, Issue 1 , January 2025, Pages 75-84

https://doi.org/10.22044/jadm.2025.14744.2576

Abstract
  Image inpainting is one of the important topics in the field of image processing, and various methods have been proposed in this area. However, this problem still faces multiple challenges, as an inpainting algorithm may perform well for a specific class of images but may have poor performance for other ...  Read More

Original/Review Paper H.3.8. Natural Language Processing
DOSTE: Document Similarity Matching considering Informative Name Entities

Milad Allhgholi; Hossein Rahmani; Amirhossein Derakhshan; Saman Mohammadi Raouf

Volume 13, Issue 1 , January 2025, Pages 85-94

https://doi.org/10.22044/jadm.2025.15383.2641

Abstract
  Document similarity matching is essential for efficient text retrieval, plagiarism detection, and content analysis. Existing studies in this field can be categorized into three approaches: statistical analysis, deep learning, and hybrid approaches. However, to the best of our knowledge, none have incorporated ...  Read More

Original/Review Paper H.3.2.2. Computer vision
A Persian Continuous Sign Language Dataset

Razieh Rastgoo

Volume 13, Issue 1 , January 2025, Pages 95-105

https://doi.org/10.22044/jadm.2025.14973.2600

Abstract
  Sign language (SL) is the primary mode of communication within the Deaf community. Recent advances in deep learning have led to the development of various applications and technologies aimed at facilitating bidirectional communication between the Deaf and hearing communities. However, challenges remain ...  Read More

Original/Review Paper H.3.8. Natural Language Processing
Multilingual Language Models in Persian NLP Tasks: A Performance ‎Comparison of Fine-Tuning Techniques

Ali Reza Ghasemi; Javad Salimi Sartakhti

Volume 13, Issue 1 , January 2025, Pages 107-117

https://doi.org/10.22044/jadm.2025.15167.2625

Abstract
  This paper evaluates the performance of various fine-tuning methods in Persian natural language ‎processing (NLP) tasks. In low-resource languages like Persian, ‎which suffer from a lack of rich and sufficient data for training large ‎models, it is crucial to select appropriate fine-tuning ...  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

Keywords Cloud

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