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 1

Vol. 1, Issue 1

January-June 2024

Volume 1 · 2024

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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, 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. James W. Anderson
Country: United States
1-8 Download PDF
2
Dr. Emily J. Carter
Country: United States
9-16 Download PDF
3
Dr. Sarah Mitchell
Country: United Kingdom
17-24 Download PDF
4
Dr. Nathan Collins
Country: Canada
25-33 Download PDF
5
Dr. Samantha Taylor
Country: Australia
34-41 Download PDF
6
Dr. Pavel Sokolov
Country: Belarus
42-50 Download PDF