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

9

Number of Issues

21

Article View

347,258

PDF Download

374,641

View Per Article

1290.92

PDF Download Per Article

1392.72

Reject Rate %

61

Acceptance Rate %

23

Number of Reviewers

3157

First Decision

(Approximately)

51(Days)

 

The Journal of Artificial Intelligence & Data Mining (JAIDM) is an international 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
1. IRVD: A Large-Scale Dataset for Classification of Iranian Vehicles in Urban Streets

H. Gholamalinejad; H. Khosravi

Volume 9, Issue 1 , Winter 2021, Pages 1-9

http://dx.doi.org/10.22044/jadm.2020.8438.1982

Abstract
  In recent years, vehicle classification has been one of the most important research topics. However, due to the lack of a proper dataset, this field has not been well developed as other fields of intelligent traffic management. Therefore, the preparation of large-scale datasets of vehicles for each country ...  Read More

Original/Review Paper
2. A No-Reference Blur Metric based on Second-Order Gradients of Image

T. Askari Javaran; A. Alidadi; S.R. Arab

Volume 9, Issue 1 , Winter 2021, Pages 11-18

http://dx.doi.org/10.22044/jadm.2020.9309.2068

Abstract
  Estimation of blurriness value in image is an important issue in image processing applications such as image deblurring. In this paper, a no-reference blur metric with low computational cost is proposed, which is based on the difference between the second order gradients of a sharp image and the one ...  Read More

Original/Review Paper
3. Bio-inspired Computing Paradigm for Periodic‎ Noise Reduction in Digital Images

N. Alibabaie; A.M. Latif

Volume 9, Issue 1 , Winter 2021, Pages 19-29

http://dx.doi.org/10.22044/jadm.2020.9358.2071

Abstract
  Periodic noise reduction is a fundamental problem in image processing, which severely affects the visual quality and subsequent application of the data. Most of the conventional approaches are only dedicated to either the frequency or spatial domain. In this research, we propose a dual-domain approach ...  Read More

Technical Paper
4. Face Recognition using Color and Edge Orientation Difference Histogram

S. Asadi Amiri; M. Rajabinasab

Volume 9, Issue 1 , Winter 2021, Pages 31-38

http://dx.doi.org/10.22044/jadm.2020.9376.2072

Abstract
  Face recognition is a challenging problem because of different illuminations, poses, facial expressions, and occlusions. In this paper, a new robust face recognition method is proposed based on color and edge orientation difference histogram. Firstly, color and edge orientation difference histogram is ...  Read More

Original/Review Paper
5. Feature Selection based on Particle Swarm Optimization and Mutual Information

Z. Shojaee; Seyed A. Shahzadeh Fazeli; E. Abbasi; F. Adibnia

Volume 9, Issue 1 , Winter 2021, Pages 39-44

http://dx.doi.org/10.22044/jadm.2020.8857.2020

Abstract
  Today, feature selection, as a technique to improve the performance of the classification methods, has been widely considered by computer scientists. As the dimensions of a matrix has a huge impact on the performance of processing on it, reducing the number of features by choosing the best subset of ...  Read More

Original/Review Paper
6. GroupRank: Ranking Online Social Groups Based on User Membership Records

A. Hashemi; M. A. Zare Chahooki

Volume 9, Issue 1 , Winter 2021, Pages 45-57

http://dx.doi.org/10.22044/jadm.2020.8337.1973

Abstract
  Social networks are valuable sources for marketers. Marketers can publish campaigns to reach target audiences according to their interest. Although Telegram was primarily designed as an instant messenger, it is used as a social network in Iran due to censorship of Facebook, Twitter, etc. Telegram neither ...  Read More

Original/Review Paper
7. A Distributed Sailfish Optimizer Based on Multi-Agent Systems for Solving Non-Convex and Scalable Optimization Problems Implemented on GPU

S. Shadravan; H. Naji; V. Khatibi

Volume 9, Issue 1 , Winter 2021, Pages 59-71

http://dx.doi.org/10.22044/jadm.2020.9389.2075

Abstract
  The SailFish Optimizer (SFO) is a metaheuristic algorithm inspired by a group of hunting sailfish that alternates their attacks on group of prey. The SFO algorithm takes advantage of using a simple method for providing the dynamic balance between exploration and exploitation phases, creating the swarm ...  Read More

Original/Review Paper
8. Detecting Sinkhole Attack in RPL-based Internet of Things Routing Protocol

M. Yadollahzadeh Tabari; Z. Mataji

Volume 9, Issue 1 , Winter 2021, Pages 73-85

http://dx.doi.org/10.22044/jadm.2020.9253.2060

Abstract
  The Internet of Things (IoT) is a novel paradigm in computer networks which is capable to connect things to the internet via a wide range of technologies. Due to the features of the sensors used in IoT networks and the unsecured nature of the internet, IoT is vulnerable to many internal routing attacks. ...  Read More

Original/Review Paper
9. A Novel Hierarchical Attention-based Method for Aspect-level Sentiment Classification

A. Lakizadeh; Z. Zinaty

Volume 9, Issue 1 , Winter 2021, Pages 87-97

http://dx.doi.org/10.22044/jadm.2020.9579.2091

Abstract
  Aspect-level sentiment classification is an essential issue in sentiment analysis that intends to resolve the sentiment polarity of a specific aspect mentioned in the input text. Recent methods have discovered the role of aspects in sentiment polarity classification and developed various techniques to ...  Read More

Original/Review Paper
10. Probabilistic Reasoning and Markov Chains as Means to Improve Performance of Tuning Decisions under Uncertainty

A. Omondi; I. Lukandu; G. Wanyembi

Volume 9, Issue 1 , Winter 2021, Pages 99-108

http://dx.doi.org/10.22044/jadm.2020.8920.2027

Abstract
  Variable environmental conditions and runtime phenomena require developers of complex business information systems to expose configuration parameters to system administrators. This allows system administrators to intervene by tuning the bottleneck configuration parameters in response to current changes ...  Read More

Original/Review Paper
11. Estimating Pier Scour Depth: Comparison of Empirical Formulations with ANNs, GMDH, MARS, and Kriging

M. Zarbazoo Siahkali; A.A. Ghaderi; Abdol H. Bahrpeyma; M. Rashki; N. Safaeian Hamzehkolaei

Volume 9, Issue 1 , Winter 2021, Pages 109-128

http://dx.doi.org/10.22044/jadm.2020.10085.2147

Abstract
  Scouring, occurring when the water flow erodes the bed materials around the bridge pier structure, is a serious safety assessment problem for which there are many equations and models in the literature to estimate the approximate scour depth. This research is aimed to study how surrogate models estimate ...  Read More

Original/Review Paper
12. An Image Restoration Architecture using Abstract Features and Generative Models

A. Fakhari; K. Kiani

Volume 9, Issue 1 , Winter 2021, Pages 129-139

http://dx.doi.org/10.22044/jadm.2020.9691.2101

Abstract
  Image restoration and its different variations are important topics in low-level image processing. One of the main challenges in image restoration is dependency of current methods to the corruption characteristics. In this paper, we have proposed an image restoration architecture that enables us to address ...  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. 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

5. 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

Original/Review Paper
1. A Novel Approach to Communicate with Video Game Character using Cascade Classifiers

M. Mohammadzadeh; H. Khosravi

Articles in Press, Accepted Manuscript, Available Online from 09 January 2021

http://dx.doi.org/10.22044/jadm.2020.9788.2110

Abstract
  Today, video games have a special place among entertainment. In this article, we have developed an interactive video game for mobile devices. In this game, the user can control the game’s character by his face and hand gestures. Cascading classifiers along with Haar-like features and local binary ...  Read More

Original/Review Paper
2. Automatic Persian Text Emotion Detection using Cognitive Linguistic and Deep Learning

Seyedeh S. Sadeghi; H. Khotanlou; M. Rasekh Mahand

Articles in Press, Accepted Manuscript, Available Online from 18 January 2021

http://dx.doi.org/10.22044/jadm.2020.9992.2136

Abstract
  In the modern age, written sources are rapidly increasing. A growing number of these data are related to the texts containing the feelings and opinions of the users. Thus, reviewing and analyzing of emotional texts have received a particular attention in recent years. A System which is based on combination ...  Read More

Original/Review Paper
3. Convolutional Neural Network Equipped with Attention Mechanism and Transfer Learning for Enhancing Performance of Sentiment Analysis

H. Sadr; Mir M. Pedram; M. Teshnehlab

Articles in Press, Accepted Manuscript, Available Online from 07 February 2021

http://dx.doi.org/10.22044/jadm.2021.9618.2100

Abstract
  With the rapid development of textual information on the web, sentiment analysis is changing to an essential analytic tool rather than an academic endeavor and numerous studies have been carried out in recent years to address this issue. By the emergence of deep learning, deep neural networks have attracted ...  Read More

Original/Review Paper
4. Facial Expression Recognition based on Image Gradient and Deep Convolutional Neural Network

M. R. Fallahzadeh; F. Farokhi; A. Harimi; R. Sabbaghi-Nadooshan

Articles in Press, Accepted Manuscript, Available Online from 17 February 2021

http://dx.doi.org/10.22044/jadm.2021.9898.2121

Abstract
  Facial Expression Recognition (FER) is one of the basic ways of interacting with machines and has been getting more attention in recent years. In this paper, a novel FER system based on a deep convolutional neural network (DCNN) is presented. Motivated by the powerful ability of DCNN to learn features ...  Read More

Original/Review Paper
5. Online Recommender System Considering Changes in User's Preference

J. Hamidzadeh; M. Moradi

Articles in Press, Accepted Manuscript, Available Online from 06 March 2021

http://dx.doi.org/10.22044/jadm.2020.9518.2085

Abstract
  Recommender systems extract unseen information for predicting the next preferences. Most of these systems use additional information such as demographic data and previous users' ratings to predict users' preferences but rarely have used sequential information. In streaming recommender systems, the emergence ...  Read More

Original/Review Paper
6. ParsNER-Social: A Corpus for Named Entity Recognition in Persian Social Media Texts

M. Asgari-Bidhendi; B. Janfada; O. R. Roshani Talab; B. Minaei-Bidgoli

Articles in Press, Accepted Manuscript, Available Online from 08 March 2021

http://dx.doi.org/10.22044/jadm.2020.9949.2143

Abstract
  Named Entity Recognition (NER) is one of the essential prerequisites for many natural language processing tasks. All public corpora for Persian named entity recognition, such as ParsNERCorp and ArmanPersoNERCorpus, are based on the Bijankhan corpus, which is originated from the Hamshahri newspaper in ...  Read More

Original/Review Paper
7. Relevance Feedback-based Image Retrieval using Particle Swarm Optimization

F. Jafarinejad; R. Farzbood

Articles in Press, Accepted Manuscript, Available Online from 13 March 2021

http://dx.doi.org/10.22044/jadm.2020.9014.2037

Abstract
  Image retrieval is a basic task in many content-based image systems. Achieving high precision, while maintaining computation time is very important in relevance feedback-based image retrieval systems. This paper establishes an analogy between this and the task of image classification. Therefore, in the ...  Read More

Original/Review Paper
8. Rice Classification with Fractal-based Features based on Sparse Structured Principal Component Analysis and Gaussian Mixture Model

S. Mavaddati; S. Mavaddati

Articles in Press, Accepted Manuscript, Available Online from 14 March 2021

http://dx.doi.org/10.22044/jadm.2021.9583.2090

Abstract
  Development of an automatic system to classify the type of rice grains is an interesting research area in the scientific fields associated with modern agriculture. In recent years, different techniques are employed to identify the types of various agricultural products. Also, different color-based and ...  Read More

Original/Review Paper
9. Automatic Facial Expression Recognition Method Using Deep Convolutional Neural Network

Seyedeh H. Erfani

Articles in Press, Accepted Manuscript, Available Online from 14 March 2021

http://dx.doi.org/10.22044/jadm.2020.8801.2018

Abstract
  Facial expressions are part of human language and are often used to convey emotions. Since humans are very different in their emotional representation through various media, the recognition of facial expression becomes a challenging problem in machine learning methods. Emotion and sentiment analysis ...  Read More

Special Issue IJE

IJE Special Issue on Cyber Security and AI

Keywords Cloud