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IJAIA 2023 : International Journal of Artificial Intelligence & Applications - H Index - 35


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Submission Deadline Sep 22, 2023
Notification Due Oct 21, 2023
Final Version Due Oct 28, 2023
Categories    artificial intelligence   machine learning   deep learning   neural networks

Call For Papers

International Journal of Artificial Intelligence & Applications (IJAIA)

Citations, h-index, i10-index of IJAIA

Citations 5755   h-index 35   i10-index 124

Scope and Topics

The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.

Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications. Topics of interest include, but are not limited to, the following:

Topics of Interest

  • AI Algorithms
  • Artificial Intelligence tools & Applications
  • Automatic Control
  • Bioinformatics
  • Natural Language Processing
  • CAD Design & Testing
  • Computer Vision and Speech Understanding
  • Data Mining and Machine Learning Tools
  • Fuzzy Logic
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Hybrid Intelligent Systems
  • Information Retrieval
  • Intelligent System Architectures
  • Knowledge Representation
  • Knowledge-based Systems
  • Mechatronics
  • Multimedia & Cognitive Informatics
  • Neural Networks
  • Parallel Processing
  • Pattern Recognition
  • Pervasive computing and ambient intelligence
  • Programming Languages
  • Reasoning and Evolution
  • Recent Trends and Developments
  • Robotics
  • Semantic Web Techniques and Technologies
  • Soft computing theory and applications
  • Software & Hardware Architectures
  • Web Intelligence Applications & Search
  • Machine Learning
  • Deep Learning
  • Bayesian Network

Paper Submission

Authors are invited to submit papers for this journal through Email: or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

Submission Deadline:September 22, 2023
Authors Notification: October 21, 2023
Final Manuscript Due: October 28, 2023
Publication Date:Determined by the Editor-in-Chief

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July 2023, Volume 14, Number 4

Real Time Deep Learning Weapon Detection Techniques for Mitigating Lone Wolf Attacks  Full Text
Akhila Kambhatla and Ahmed R Khaled, Southern Illinois University, USA

Uncertainty Estimation in Neural Networks Through Multi-Task Learning  Full Text
Ashish James and Anusha James, Insitute for Infocomm Research (I2R), Singapore

Answer Set Programming (DLV – Clingo):Connect 4 Solver  Full Text
Rosalba Cuapa C, Fernando Zacarias F and Adair Ponce, Universidad Autónoma de Puebla, México

Segmentation of the Gastrointestinal Tract MRI Using Deep Learning  Full Text
J. Roy and A. Abdel-Dayem, Laurentian University, Canada

May 2023, Volume 14, Number 3

Large Language Models for Ciphers  Full Text
David Noever, PeopleTec, USA

Procedural Generation in 2D Metroidvania Game with Answer Set Programming and Perlin Noise  Full Text
John Xu1 and John Morris2, 1USA, 2California State Polytechnic University, USA

March 2023, Volume 14, Number 2

Spot-the-Camel: Computer Vision for Safer Roads  Full Text
Khalid AlNujaidi, Ghadah AlHabib, and Abdulaziz AlOdhieb, Prince Mohammad Bin Fahd University, Saudi Arabia

Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network  Full Text
Jingyi Gu, Fadi P. Deek and Guiling Wang, New Jersey Institute of Technology, USA

Psychological Emotion Recognition of Students using Machine Learning based Chatbot  Full Text
Suha Khalil Assayed1, Khaled Shaalan1, Sana Alsayed2, Manar Alkhatib1, 1The British University, UAE, 2Philadelphia University, Jordan

A Comparison of Document Similarity Algorithms  Full Text
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Design that uses AI to Overturn Stereotypes: Make Witches Wicked Again  Full Text
Xiaohan Feng and Makoto Murakami, Toyo University, Japan

Development of an Intelligent Vital Sign Monitoring Robot System  Full Text
Yu-Ping Liao Wen-Hsiang Yeh, Hong-Xin Wu, and Yi-Lin Cheng, Chung Yuan Christian University, Taiwan (R.O.C.)

EDGE-Net: Efficient Deep-Learning Gradients Extraction Network  Full Text
Nasrin Akbari and Amirali Baniasadi, University of Victoria, Canada

January 2023, Volume 14, Number 1

An Authorship Identification Empirical Evaluation of Writing Style Features in Cross-Topic and
Cross-genre Documents Full Text
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Simisani Ndaba, Edwin Thuma, Gontlafetse Mosweunyane, University of Botswana, Gaborone, Botswana

Investigating the Effect of BD-CRAFT to Text Detection Algorithms  Full Text
Clarisa V. Albarillo1and Proceso L. Fernandez, Jr2, 1Don Mariano Marcos Memorial State University, Philippines, 1Ateneo de Manila University, Philippines

Converting Real Human Avatar to Cartoon Avatar Utilizing CycleGAN  Full Text
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ADPP: A Novel Anomaly Detection and Privacy-Preserving Framework using Blockchain and Neural Networks in Tokenomics  Full Text
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A Systematic Study of Deep Learning Architectures for Analysis of Glaucoma and Hypertensive Retinopathy  Full Text
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Improving Explanations of Image Classifiers: Ensembles and Multitask Learning  Full Text
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September 2022, Volume 13, Number 5

Difference of Probability and Information Entropy for Skills Classification and Prediction in Student Learning  Full Text
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Artificial Intelligence to Optimize Countries’ Macroeconomic and Environmental Programs  Full Text
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July 2022, Volume 13, Number 4

A Deep Learning Approach for Defect Detection and Segmentation in X-Ray Computed to Mography Slicesof Additively Manufactured Components  Full Text
Pradip Acharya, Tsuchin P. Chu, Khaled R. Ahmed, Subash Kharel, Southern Illinois University, USA

Multiple Instance Learning Networks for Stock Movements Prediction with Financial News  Full Text
Yiqi Deng and Siu Ming Yiu, The University of Hong Kong, China

Predicting more Infectious Virus Variants for Pandemic Prevention through Deep Learning Full Text
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Deep Learning-based ECG Classification on Raspberry PI using a Tensorflow Lite Model based on PTB-XL Dataset  Full Text
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Prior Bush Fire Identification Mechanism based on Machine Learning Algorithms Full Text
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New Local Binary Pattern Feature Extractor with Adaptive Threshold for Face Recognition Applications Full Text
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May 2022, Volume 13, Number 3

Causality Learning with Wasserstein Generative Adversarial Networks  Full Text
Hristo Petkov, Colin Hanley and Feng Dong, University of Strathclyde, United Kingdom

A Data Mining Approach for Filtering out Social Spammers in Large-Scale Twitter Data Collections  Full Text
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Performance Evaluation of Yolov4 and Yolov4- Tiny for Real-time Face-mask Detection on Mobile Devices Full Text
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Data Standardization using Deep Learning for Healthcare Insurance Claims Full Text
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Investigating Multi-feature Selection and Ensembling for Audio Classification Full Text
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March 2022, Volume 13, Number 2

COVFILTER: A Low-cost Portable Device for the Prediction of Covid-19 for Resource-Constrained Rural Communities  Full Text
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Artificial Intelligence Techniques for the Modeling of a 3G Mobile Phone Base Radio  Full Text
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November 2021, Volume 12, Number 6

A Knowledge based Automatic Radiation Treatment Plan Alert System  Full Text
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Automation of Best-Fit Model Selection using a Bag of Machine Learning Libraries for Sales Forecasting  Full Text
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March 2021, Volume 12, Number 2

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January 2021, Volume 12, Number 1

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Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern Analysis Full Text
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Software Testing: Issues and Challenges of Artificial Intelligence & Machine Learning Full Text
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