Aim & Scope

Journal of Artificial Intelligence, Machine Learning and Data Science (JAIMD) is an international, peer-reviewed, open access online journal on all aspects of artificial intelligence, machine learning and data science published quarterly.

Aim & Scope

Aim: This journal aims to provide scholarly input to the debate of the future impact of AI on society, as well as to host a forum in which research in AI focused on social good can be presented. JAIMD is designed to meet the needs of a wide range of AI researchers in academic and industrial research.

Scope: The scope of the journal extends to the application of intelligent systems in industry, medicine, and daily life. JAIMD covering a wide range of issues from the tools and languages of artificial intelligence (AI) to philosophical implications. The journal provides a vigorous forum for the publication of both theoretical and experimental research, as well as surveys and impact studies.

Categories of contributions accepted for the journal are research articles, reviews, debates, short communications, reviews of books, perspectives.

In order to reach the worldwide community of artificial intelligence (AI), the Journal of Artificial Intelligence, Machine Learning & Data Science (JAIMD) is dedicated to rapid dissemination of important research results.

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Articles

ONLINE
ARTICLES

Articles in Press

Volume 1, Issue 1

Research Article

A Comparative study of Long Short-Term Memory and Gated Recurrent Unit

Sebastian Ifeanyi Obeta 1* , Dr Enrico Grisan 2, Chinazor Vivian Kalu 3

Publication Date: 20 January 2023

 

Research Article

Bearing Fault Diagnosis Based on Improved Pseudo Fourthorder Moment

Zihan Wang1, Jian Wang1 and Yongjian Sun1*

Publication Date: 09 February 2023

 

Review Article

Critical Evaluation of the Future Role of Artificial Intelligence in Business and Society

Moshood Yahaya1*, Alex Umagba1, Sebastian Obeta1, Takao Maruyama1

Publication Date: 01 March 2023

 

Research Article

An Improved Alexnet-Based Method for Fault Diagnosis of Rolling Bearings in Multiple Operating Conditions

Chuanhao Wang 1, Yongjian Sun *2, Xiaohong Wang 3

Publication Date: 10 March 2023

 

Research Article

Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Improved Canberra Distance in Symmetrized Dot Pattern Image

Wei Wang 1, Jian Wang 1, Yongjian Sun*1

Publication Date: 23 March 2023

 

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Research Topics
OPEN FOR
SUBMISSION 13

Artificial Intelligence

Multi-agent systems, automated reasoning, constraint processing and search, knowledge representation, machine learning, natural language, robotics and vision, and uncertainty in AI, cognition and AI, ...

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Machine Learning

Learning Model-based Clustering Modelling High-Dimensional, Complex Data Natural Language Processing, Text Mining Optimization in Classification, Clustering Symbolic Data Analysis Applications of the ...

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Data Science

Secure federated learning with real-world applications, Big data analytics and its impact on marketing strategy, Impact of big data on business decision-making, Implementing big data to understand con...

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Natural Language Processing (NLP)

Text and speech processing, speech recognition, optical character recognition (OCR), speech segmentation, text-to-speech, word segmentation, natural-language understanding, and natural-language genera...

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Artificial Intelligence (AI) Ethics and Social Implications

Robot ethics, Machine ethics, Ethics principles of artificial intelligence, Transparency, accountability, and open source, Bias and discrimination in AI, Privacy and security issues in AI, The impact ...

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Robotics and Automation

Intelligent Control and Applications for Robotics; Industrial Robotics; Automation; Robotic devices and systems; Design and Control; Optimal design of systems for material processing; Real-time algori...

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Artificial Intelligence (AI) in Aerospace Science and Engineering

Aviation Safety; Astrodynamics and Celestial Mechanics; Machine Learning and Optimal Control to Aerospace Systems; Advancements in Unmanned Aerial Vehicles; Advanced Guidance and Control of Hypersonic...

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Imbalanced Learning

Imbalanced Big Data; Applications in imbalanced domains; data-partition; Geometric-SMOTE; deep learning; intelligent data analysis; pattern recognition; data mining; cost-sensitive learning; Class imb...

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Reinforcement Learning for Real Life

Reinforcement Learning in robotics manipulation; Real-Life Applications of Reinforcement Learning; Applications in self-driving cars; Industry automation with Reinforcement Learning; Reinforcement Lea...

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Machine Learning Foundations for Data Science

Explainable machine learning; Interpretable machine learning; Model interpretability; Model-agnostic techniques; Internet of Things (IoT) systems; Rare event prediction; Extreme event prediction; Feat...

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Deep Learning Theories and Models

Deep learning technologies; Applications of deep learning in software; Applications of deep learning in hardware; Caption generation; Cognitive architectures; Intelligent agents; Narrative intelligenc...

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Emerging Impactful Machine Learning Applications

The applications of machine learning in radiotherapy, chemotherapy, endoscopic images, laryngoscopic images, MRI, CT imaging; Genomic sequence determinations and analysis of gene expression patterns; ...

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Artificial Intelligence Developments for Healthcare Applications

Predictive Medicine, Clinical Decision Support, Drug Discovery, Imaging Analysis, Electronic Health Records, Clinical Trials, Telemedicine, Genomic Analysis, Precision Medicine, Public Health Surveill...

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Editorial Board

ON BOARD
EDITORS 15

Jenny Benois-Pineau, PhD, HDR

Jenny Benois-Pineau, PhD, HDR

Editor

Professor of Computer Science, Chair of International relations.

Specialization:
Image and video analysis, artificial intelligence in multimedia and healthcare.

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Marcin Paprzycki

Marcin Paprzycki

Editor

Associate Professor

Specialization:
Software agents and agent systems, application of semantic technologies, high performance computing, parallel computing, computational mathematics

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Fuhua (Oscar) Lin, PhD

Fuhua (Oscar) Lin, PhD

Editor

Professor

Specialization:
Adaptive Learning, Multiagent Systems, Multiagent Systems. Artificial Intelligence in Education, Multi-agent Systems, Reinforcement Learning, Virtual Reality, and Algorithm Design and Analysis.

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Geraldo Pereira Rocha Filho

Geraldo Pereira Rocha Filho

Editor

Professor

Specialization:
Wireless sensor networks, vehicular networks, smart grids.

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Syed Syed N.U.A. Kirmani

Syed Syed N.U.A. Kirmani

Editor

Professor

Specialization:
Machine Learning, Statistical Learning, Information-theoretic methods, Probabilistic Methods in AI, and theory and methods of Data Science (including teaching data science)

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Sebastian Ifeanyi Obeta

Sebastian Ifeanyi Obeta

Editor

Data Scientist and NLP Engineer

Specialization:
Artificial Intelligence, Computer Vision, Natural Language Processing

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Min-Shiang Hwang, Ph.D

Min-Shiang Hwang, Ph.D

Editor

Chair Professor

Specialization:
Cryptography, Security in Mobile Communications and Computing, Steganography, Database and Data Security, Computer Networks and Network Security, Bioinformatica.

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Hyun-A Park, Ph.D

Hyun-A Park, Ph.D

Editor

Assistant Professor

Specialization:
AI and IoT Security, Security in Cloud Computing application / Social Network / Collaborative Computing.

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Ahmad AL Smadi, Ph.D.

Ahmad AL Smadi, Ph.D.

Associate Editor

Research Assistant

Specialization:
Image Fusion, Remote Sensing, Medical Image Analysis, Machine Learning, and Deep Learning.

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Wanyang Dai

Wanyang Dai

Editor

Professor at Nanjing University

Specialization:
His research includes stochastic processes related optimization and Pareto optimal control/game, admission/scheduling/routing protocols and performance analysis/optimization for BigData-Blockchain oriented quantum-cloud computing and wireless/wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and their applications to queueing systems, Internet of Things, energy and power engineering.

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Shahzad Ashraf, Ph.D.

Shahzad Ashraf, Ph.D.

Editor

Professor

Specialization:
Underwater wireless sensor networks

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Yas A. Alsultanny

Yas A. Alsultanny

Editor

Professor

Specialization:
Image Processing, Neural networks, Genetic algorithms, Wavelet, Fuzzy set theory, Internet computing, Image Encryption, Computer Security, Software Quality assurance, E-Learning & e-Commerce, Telemedicine and Telehealth, E-SCM, Business Intelligence.

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Dr. Natheer Gharaibeh, Ph.D

Dr. Natheer Gharaibeh, Ph.D

Topic Editor

Associate Professor

Specialization:
Software Engineering and Business Intelligence

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Prof. Dr. Manas Ranjan Pradhan, Ph.D.

Prof. Dr. Manas Ranjan Pradhan, Ph.D.

Editor

Associate Professor

Specialization:
Artificial Intelligence, Machine Learning, Datamining, Data warehouse, Big data Analytics, IoT, Bioinformatics and Molecular Computing

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Prof. Dr. Arti Jain (SMIEEE, IAENG, INSTICC, IFERP, TERA)

Prof. Dr. Arti Jain (SMIEEE, IAENG, INSTICC, IFERP, TERA)

Editor

Assistant Professor (Sr. Grade)

Specialization:
Natural Language Processing, Machine Learning, Data Science, Deep Learning, Social Media Analysis, Soft Computing, Big Data, and Data Mining

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