ISSN (Print): 3107-1376 ISSN (Online): 3107-1376
MedPub Online International Journal of Medical Research Official Publication of Octopus Publication, Hong Kong
Cover of Vol. 2, Issue 1

Vol. 2, Issue 1

January-June 2025

Volume 2 · 2025

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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, January-June, 2025. 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
Dr. Elena Ivanova
Country: Belarus
1-9 Download PDF
2
Dr. Natalia Petrova
Country: Russia
10-17 Download PDF
3
Dr. Benjamin Walker
Country: Australia
18-26 Download PDF
4
Dr. Angela Lam
Country: Hong Kong
27-35 Download PDF
5
Dr. Robert L. Thompson
Country: United States
36-43 Download PDF
6
Dr. Michelle Zhang
Country: Canada
44-52 Download PDF