ISSN (Print): 3079-4749 ISSN (Online): 3079-4749
AI Tech International Journal Official Publication of Octopus Publication, Hong Kong
Vol. 4, Issue 2

Vol. 4, Issue 2

July-December 2026

Volume 4 · 2026

AI Tech International Journal (AITIJ) (ISSN: 3079-4749) invites researchers, scholars, industry experts, and practitioners worldwide to submit original research papers, reviews, and case studies for its upcoming issue, July-December, 2026. As a peer-reviewed, open-access publication based in Hong Kong, AITIJ provides a global platform to showcase high-quality theoretical advancements and real-world applications in artificial intelligence. We welcome multidisciplinary submissions across machine learning, natural language processing, computer vision, robotics, AI ethics, IoT, and big data analytics. All accepted articles receive a Crossref DOI, indexed listing in Google Scholar, and are published on a continuous online basis following a rigorous double-blind peer-review process.

Table of Contents

No. Article Pages Full text
1
Elif Demirhan
Country: Turkey
1-13 Download PDF
2
Minseo Han
Country: South Korea
14-24 Download PDF