Peer Review Process

All manuscripts submitted to SAKA Journal of Applied Artificial Intelligence undergo a rigorous double-blind peer-review process to ensure the quality, originality, and relevance of published research. Each submission is initially screened by the editorial team for suitability and adherence to journal guidelines. Suitable manuscripts are then reviewed by at least two independent reviewers with expertise in the relevant field.
The final decision regarding publication is based on reviewers’ recommendations and the editorial board’s evaluation. The journal is committed to maintaining fairness, confidentiality, and transparency throughout the review process.