About the Journal

SAKA Journal of Applied Artificial Intelligence is a peer-reviewed scientific journal dedicated to disseminating high-quality research in applied artificial intelligence. The journal focuses on the practical implementation, development, and evaluation of AI techniques across diverse domains and real-world applications.

This journal provides an academic platform for researchers, practitioners, and scholars to publish original research articles, review papers, and case studies that demonstrate innovative AI applications to solve complex problems across sectors.

Application Sectors

  • Healthcare & Education 
  • Business, Management & Public Policy
  • Agriculture & Smart Cities
  • Social Sciences & Industry 4.0

AI Core Integration

  • Machine Learning & Deep Learning
  • Computer Vision & Natural Language Processing
  • Data Science & Intelligent Systems
  • Explainable Artificial Intelligence (XAI)

All submitted manuscripts undergo a rigorous double-blind peer-review process to ensure academic quality, originality, and relevance. The journal is committed to maintaining high ethical publishing standards.

SAKA Journal of Applied Artificial Intelligence is published biannually (twice a year) and welcomes submissions from researchers and professionals worldwide.