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. 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 | 1-7 | Download PDF | |
| 2 | 8-14 | Download PDF | |
| 3 | 15-25 | Download PDF | |
| 4 | 26-33 | Download PDF | |
| 5 | 34-45 | Download PDF | |
| 6 | 46-52 | Download PDF | |
| 7 | 53-58 | Download PDF | |
| 8 | 59-68 | Download PDF | |
| 9 | 69-75 | Download PDF | |
| 10 | 100-109 | Download PDF |