Aims & Scope

The Journal of AI Analytics and Applications (JAIAA) aims to publish high-quality, original research and review articles that explore the theory, development, and practical implementation of artificial intelligence (AI) in analytics-driven environments. The journal focuses on innovative AI methodologies, models, and systems applied to real-world problems across industries. JAIAA provides a platform for interdisciplinary research bridging AI, data science, and domain-specific applications.

Single-blinded Peer Review

Committed to scientific integrity and editorial excellence,  the Journal of AI Analytics and Applications employs a single-blinded peer-review process and adheres to the highest ethical standards as outlined by COPE. The journal embraces transparency, reproducibility, and accessibility, ensuring that all published content is freely available under an open-access model to maximize dissemination and global impact.

ISSN: 3067-7386

Abstracting & Indexing

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