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Current Issues
     2025:6/2

International Journal of Artificial Intelligence Engineering and Transformation

About Journal

The International Journal of Artificial Intelligence Engineering and Transformation (IJAIET) is a peer-reviewed journal dedicated to publishing critical and innovative research in the field of Artificial Intelligence (AI) and its integration with engineering and digital transformation. The journal aims to promote original studies and foster meaningful dialogue between traditional engineering methods and emerging AI technologies, with a strong emphasis on responsible, ethical, and transformative practices.

Scope
The International Journal of Artificial Intelligence Engineering and Transformation promotes original academic research across a range of disciplines, including but not limited to:

  1. Machine Learning and Deep Learning
  2. Robotics and Automation
  3. Natural Language Processing (NLP)
  4. Computer Vision
  5. AI in Cybersecurity and Smart Systems
  6. AI for Industry 4.0 and Digital Transformation
  7. Human-AI Interaction and Ethics
  8. Edge Computing and AI in IoT

The journal seeks to provide insights and frameworks that advance intelligent systems, empower innovation, and address real-world engineering challenges in an evolving technological landscape.

Objectives
General Objective:
The International Journal of Artificial Intelligence Engineering and Transformation aligns with global digital and technological goals by emphasizing a human-centric and responsible AI approach. The journal aims to recognize the importance of human-AI collaboration, digital literacy, and ethical AI development to support innovation and transformation across sectors.

Specific Objectives:

  1. To publish original research, theoretical studies, and technical advancements in artificial intelligence and engineering applications.
  2. To promote interdisciplinary discussions around AI deployment, automation, governance, and societal impact.
  3. To provide a platform for global scholarly dialogue on the opportunities and challenges of AI-driven transformation across industries and communities.

Publishing Charges
For details regarding article processing and publication fees, please contact the editorial office via email: aiengineering.research@gmail.com

Refund Policy

  1. If the author requests cancellation within 5 days of manuscript acceptance, a 30% deduction + transaction charges will apply.
  2. No refund will be issued if cancellation occurs after 5 days or once the article has been published online.

This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the Budapest Open Access Initiative (BOAI) definition of open access.