European Journal of Artificial Intelligence and Machine Learning

About the Journal

Journal Overview

The European Journal of Artificial Intelligence and Machine Learning (EJAIML) is a United Kingdom–based, international, peer-reviewed, and open-access scholarly journal dedicated to advancing global research and innovation in Artificial Intelligence (AI) and Machine Learning (ML).

EJAIML provides a respected platform for researchers, academicians, and professionals to publish original, high-quality, and unplagiarised manuscripts that expand theoretical understanding, algorithmic design, and real-world applications of intelligent systems.

Committed to academic integrity, transparency, and innovation, the journal bridges the gap between research and practice, facilitating the global exchange of scientific knowledge in the field of AI and ML.

The journal publishes twelve issues annually (monthly) and maintains a selective acceptance ratio of approximately 32%, ensuring that only original, relevant, and technically sound research is published.
However, this acceptance ratio is dynamic — it continuously changes depending on the overall quality, depth, and contribution of manuscripts received in each issue.

Mission and Vision

The mission of the European Journal of Artificial Intelligence and Machine Learning is to promote scientific excellence, encourage innovation, and ensure ethical dissemination of knowledge across the AI and ML research communities.

We aim to foster a collaborative environment where scholars, developers, and industry professionals share ideas that push the boundaries of intelligent technology.

Our vision is to be recognized as one of Europe’s most trusted and respected platforms for AI and ML research — renowned for its academic rigor, ethical standards, and open-access approach.

EJAIML stands for Accessibility, Authenticity, and Advancement — the three pillars that define its role in the global scientific landscape.

Scope of the Journal

The EJAIML welcomes manuscripts that explore the full spectrum of Artificial Intelligence and Machine Learningresearch, including but not limited to:

  • Artificial Intelligence and Cognitive Computing

  • Machine Learning, Deep Learning, and Neural Networks

  • Natural Language Processing (NLP) and Speech Technologies

  • Computer Vision and Image Recognition

  • Reinforcement Learning and Autonomous Systems

  • Robotics, Automation, and Intelligent Control

  • Explainable AI (XAI) and Responsible Artificial Intelligence

  • Predictive Analytics and Decision Support Systems

  • Human–AI Interaction and Cognitive Computing

  • Evolutionary Algorithms and Optimization Techniques

  • AI in Healthcare, Education, and Industry 4.0

  • AI-based Cybersecurity, Privacy, and Risk Modelling

  • Computational Intelligence and Smart Systems

Only original, unpublished, and ethically compliant manuscripts are considered for review.
Duplicate, plagiarized, or previously published content is strictly rejected.

Publication Frequency and Acceptance Ratio

The European Journal of Artificial Intelligence and Machine Learning publishes twelve regular issues per year (monthly), ensuring the continuous and timely dissemination of contemporary research.

The journal maintains a selective acceptance ratio of around 32%, upholding strict quality and ethical standards.
This ratio is not fixed — it varies dynamically depending on the quality, originality, and impact of submissions in each cycle.

EJAIML believes in maintaining quality over quantity, and every accepted paper is a reflection of scientific merit and innovation.

Peer Review Policy

Each manuscript submitted to EJAIML undergoes a rigorous double-blind peer review by two to three independent international reviewers who are experts in the corresponding subject area.

The review process evaluates manuscripts based on technical soundness, novelty, relevance, methodology, and clarity.
Articles are published only after receiving positive recommendations from reviewers or after satisfactory revisions are made.

Without peer review approval, no manuscript proceeds to publication.
Authors may also request official peer review reports for institutional or academic use after the review process.

Editorial and Reviewer Board

The journal is managed by an international editorial board of distinguished scholars, researchers, and professionals from leading universities and research institutions worldwide.

A dedicated reviewer board supports the editorial team in ensuring fairness, quality, and accuracy throughout the review process.

Researchers interested in joining the editorial or reviewer board may submit their CV or résumé (Europass or any recognized international format) for consideration.
All applications are carefully reviewed by the editorial committee, and only qualified candidates are officially listed as part of the board.

Ethical Standards and Publication Integrity

The European Journal of Artificial Intelligence and Machine Learning (EJAIML) strictly adheres to the Committee on Publication Ethics (COPE) guidelines for ethical publishing practices.

We maintain zero tolerance toward plagiarism, falsified data, duplicate submissions, or unethical research conduct.
Each submission undergoes plagiarism detection and ethical compliance verification before entering the review stage.

The journal does not publish retroactive, backdated, or previously accepted manuscripts, ensuring that all content is original and current.
Integrity, transparency, and fairness guide all editorial and peer-review decisions.

Open Access Policy and Creative Commons License

EJAIML operates under the Creative Commons International License (CC BY 4.0 or equivalent), ensuring that all published works are open access, free to read, use, share, and download.

Readers, researchers, and institutions worldwide can freely access and distribute published content, provided proper credit is given to the original authors.

This open-access framework allows authors to achieve maximum global visibility and citation potential, while promoting the democratization of scientific knowledge.

All articles are permanently archived in reputable digital repositories and international indexing databases, ensuring long-term preservation and accessibility.

Why Publish with EJAIML

  • United Kingdom–based international journal

  • Monthly publication frequency (12 issues per year)

  • Dynamic acceptance ratio (~32%), based on article quality

  • Rigorous double-blind peer review by global experts

  • Fully open-access under Creative Commons License (CC BY 4.0)

  • Follows COPE ethical publication guidelines

  • Transparent and integrity-driven editorial process

  • International editorial and reviewer network

  • Focused exclusively on AI and ML research

Publishing with EJAIML ensures your research receives worldwide exposure, ethical recognition, and academic credibility.

Global Collaboration and Impact

Though based in the United Kingdom, EJAIML has developed a strong international network of contributors, reviewers, and readers across Europe, Asia, Africa, and the Americas.

We actively promote cross-border research collaboration and support both early-career and established researchers.
Our inclusive approach ensures diversity in perspectives, methodologies, and applications within the field of AI and Machine Learning.

 

The European Journal of Artificial Intelligence and Machine Learning (EJAIML) represents excellence, ethics, and innovation in the AI and ML research community.

Through its monthly issues, rigorous peer review, COPE compliance, and Creative Commons open-access model, the journal ensures that groundbreaking research is accessible to all — empowering the next generation of intelligent technologies.

Our mission is to advance global knowledge, uphold publication integrity, and foster collaboration across the AI and ML disciplines.

Join us in shaping the intelligent future through research, innovation, and ethical scientific publishing.