European Journal of Artificial Intelligence and Machine Learning

Aim & Scope

Aim and Scope

The European Journal of Artificial Intelligence and Machine Learning (EJAIML)

Published by Regent Science Press Publication House

Aim

The European Journal of Artificial Intelligence and Machine Learning (EJAIML) is an international, peer-reviewed, and open-access journal that aims to advance the development, understanding, and practical implementation of Artificial Intelligence (AI) and Machine Learning (ML) technologies.

EJAIML provides a global forum for researchers, engineers, academicians, and professionals to publish innovative, high-quality research and foster the exchange of ideas and knowledge in AI theory, algorithms, applications, and interdisciplinary solutions.

The journal’s mission is to bridge theoretical foundations with real-world applications, supporting the responsible and ethical advancement of intelligent systems across scientific, industrial, and societal domains.

Scope

EJAIML welcomes original research papers, reviews, and technical studies addressing the following areas (but not limited to):

???? Artificial Intelligence (AI) Foundations

  • Knowledge Representation and Reasoning

  • Expert Systems and Intelligent Agents

  • Cognitive Computing and Decision Support Systems

  • AI Ethics, Transparency, and Explainability

  • Fuzzy Logic and Evolutionary Computation

⚙️ Machine Learning (ML) and Data Science

  • Supervised, Unsupervised, and Reinforcement Learning

  • Deep Learning Architectures and Optimization

  • Transfer Learning and Federated Learning

  • Generative AI, Diffusion Models, and Foundation Models

  • Data Preprocessing, Feature Engineering, and Model Evaluation

???? Applied AI and Interdisciplinary Systems

  • Computer Vision and Image Recognition

  • Natural Language Processing (NLP) and Speech Recognition

  • Robotics and Autonomous Systems

  • AI in Healthcare, Education, and Finance

  • AI for Cybersecurity and Smart Cities

???? Emerging and Advanced Topics

  • Quantum Machine Learning and Neuromorphic Computing

  • AI-Driven Internet of Things (AIoT)

  • Hybrid Intelligence and Human-AI Collaboration

  • AI for Climate Modeling and Sustainability

  • Ethical, Legal, and Social Implications of AI

Journal Characteristics

  • Open Access: All articles are freely available to readers worldwide, supporting equitable access to scientific knowledge.

  • Peer-Reviewed: Each submission undergoes a double-blind review to ensure originality, accuracy, and scientific quality.

  • Monthly Publication: Continuous dissemination of research results for fast knowledge exchange.

  • Global Participation: Contributions from leading AI and ML researchers across Europe, Asia, the Americas, and beyond.

Audience

EJAIML is intended for a diverse audience including:

  • Researchers and Academicians in AI, ML, and Data Science

  • AI Engineers, Developers, and Practitioners

  • Industry Professionals and Policy Makers

  • Graduate Students and Innovators in Emerging Technologies

Mission Statement

To promote responsible, innovative, and interdisciplinary research in Artificial Intelligence and Machine Learning, fostering technological progress and ethical innovation that benefit humanity and transform industries worldwide.