International Journal of Artificial Intelligence Engineering and Transformation

About the Journal (View Full Page)

International Journal of Artificial Intelligence Engineering and Transformation (IJAIEAT) is an international, open-access, peer-reviewed academic journal dedicated to publishing high-quality research in artificial intelligence, engineering applications, and transformational technologies. The journal provides a global scholarly platform for researchers, academicians, engineers, scientists, technologists, industry professionals, and policymakers to disseminate original research, theoretical insights, and empirical studies that advance AI innovations, engineering solutions, and transformative practices across industries and society at local, national, and global levels.

Open Access Policy

IJAIEAT is a fully open-access journal, ensuring that all published articles are freely available to readers worldwide without subscription or access fees. In accordance with the Budapest Open Access Initiative (BOAI), users are allowed to read, download, copy, distribute, print, search, or link to the full texts of articles, and use them for any lawful purpose, without prior permission from the publisher or authors.

Open Access License

To support the widest possible dissemination of research, all articles published in IJAIEAT are licensed under the Creative Commons Attribution License 4.0 (CC BY 4.0).

1. Share: Copy and redistribute the material in any medium or format
2. Adapt: Remix, transform, and build upon the material for any purpose, including commercial use
3. Copyright: Authors retain full copyright and publishing rights without restrictions

Aims and Scope (View Full Page)

IJAIEAT invites original research articles, review papers, and case studies in artificial intelligence, engineering, and transformational technologies, including but not limited to:

1. Artificial Intelligence & Machine Learning: AI models, deep learning, neural networks, natural language processing, computer vision, and robotics.
2. Engineering Applications: Mechanical, electrical, civil, aerospace, chemical, and industrial engineering with AI integration.
3. Data Science & Analytics: Big data, predictive analytics, data mining, and intelligent decision-making systems.
4. Automation & Industry 4.0: Smart manufacturing, automation systems, IoT, and cyber-physical systems.
5. Transformational Technologies: AI-driven innovation, digital transformation, smart infrastructure, and sustainable tech solutions.
6. Software & IT Engineering: AI software development, cloud computing, edge computing, and intelligent systems design.
7. Policy & Ethical Dimensions: AI ethics, responsible AI, regulatory frameworks, technology adoption, and socio-economic impact.
8. Interdisciplinary Areas: AI in healthcare, agriculture, education, finance, and other industry-specific transformation applications.

Review Process and Publication Ethics – COPE Compliance (View Full Page)

IJAIEAT strictly adheres to the ethical standards set by the Committee on Publication Ethics (COPE) to maintain academic integrity and transparency.

1. Peer Review: All manuscripts undergo a rigorous Double-Blind Peer Review process
2. Plagiarism Policy: Zero tolerance for plagiarism; all submissions are screened using professional plagiarism detection tools (Turnitin/iThenticate)
3. Transparency & Responsibility: Mandatory disclosure of conflicts of interest, ethical approvals, and clear editorial and APC policies
4. Full Policy: Detailed guidelines are available on the Publication Ethics and Malpractice Statement page

Author & Editor Responsibilities

1. Clear authorship criteria and contributor transparency
2. Mandatory disclosure of conflicts of interest
3. Ethical handling of research data, references, and citations
4. Editorial independence, accountability, and fairness

Indexing & Visibility (View Full Page)

IJAIEAT is committed to enhancing the visibility and scholarly impact of published research. The journal is currently indexed and tracked in:

1. Google Scholar – Global discoverability and citation tracking
2. Crossref (DOI Registration) – Assignment of unique Digital Object Identifiers (DOIs) to all published articles

Why Choose IJAIEAT?

1. Creative Commons Licensing (CC BY 4.0) with full author copyright
2. International Editorial Board with expertise in AI, engineering, and transformational technologies
3. Rapid, fair, and transparent peer-review process
4. Worldwide readership with unrestricted open access

Submission

Authors may submit their manuscripts via email at [email protected] or through the online submission system using this link: (Submit Manuscript)