About the Journal
Journal Description
Journal of Pattern Recognition and Intelligent Data (JPRID) is a peer-reviewed, open access journal dedicated to publishing high-quality research in the fields of Artificial Intelligence (AI), Data Science (DS), Deep Learning (DL), Computer Vision, Internet of Things (IoT), and other emerging areas of pattern recognition and intelligent data.
The journal emphasizes interdisciplinary approaches and highlights both theoretical advancements and practical applications that address real-world challenges and drive technological innovation.
Launched in 2026, JPRID applies a rigorous double-blind peer review process to ensure the originality, quality, and relevance of every submission. All published articles are available under the Creative Commons Attribution–ShareAlike 4.0 International (CC BY-SA 4.0) license.
Published biannually in June and December, the journal welcomes contributions from scholars, researchers, and professionals worldwide. The journal strives for inclusion in major national and international indexing databases such as Google Scholar, CrossRef, and Garuda to maximize research visibility and impact.

