ISSN (Print): 3079-4749 ISSN (Online): 3079-4749
AI Tech International Journal Official Publication of Octopus Publication, Hong Kong
Cover of Vol. 1, Issue 1

Vol. 1, Issue 1

July-December 2023

Volume 1 · 2023

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

Article Pages Full text
Dr. Alan Cook
1-7 Download PDF
Dr. Akira Tanaka
8-14 Download PDF
Dr. Ahmed Zayed
15-25 Download PDF
Dr. Abdul Rahman
26-33 Download PDF
Dr. Aisha Patel
34-45 Download PDF
G Prasad Babu, Dr Ashish Chandra Swami, Dr Sikhakolli Gopi Krishna
46-52 Download PDF
B Pavan Kumar, Dr Ashish Chandra Swami, Dr Sikhakolli Gopi Krishna
53-58 Download PDF
Doddala Radhika, Dr. Rajesh Koolwal, Dr. Sikhakolli Gopi Krishna
59-68 Download PDF
Pembarti Rachana Devidas, Dr. Rajesh Koolwal, Dr. Amjan Shaik
69-75 Download PDF
Bhaskar Babu Narasimhaiah
100-109 Download PDF
Kumar Kasimala
110-115 Download PDF