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. 1, Issue 2

Vol. 1, Issue 2

July-December 2024

Volume 1 · 2024

⬇ Download Cover

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, 2024. 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. Igor Kuznetsov
Country: Russia
1-9 Download PDF
2
Dr. Chen Wei
Country: China
9-14 Download PDF
3
Dr. Wong Chi-Yuen
Country: Hong Kong
15-21 Download PDF
4
Dr. Peter Harrison
Country: United Kingdom
22-30 Download PDF
5
Dr. Amanda Chen
Country: Canada
31-38 Download PDF
6
Dr. Anna M. Davies
Country: United Kingdom
39-46 Download PDF