The Babylonian Journal of Artificial Intelligence (EISSN: 3006-5437) is a leading publication dedicated to the convergence of modern AI with ancient Babylonian insights. It showcases peer-reviewed research, articles, and reviews exploring the interface between AI technologies and historical Babylonian methodologies. The journal serves as a hub for interdisciplinary discussions, fostering collaboration among researchers and practitioners pushing the boundaries of AI while drawing inspiration from Babylonian knowledge systems.

Current Issue

Vol. 2025 (2025)

In Progress

Published: 2025-01-10

Articles

Chinese Generative AI Models Challenge Western AI in Clinical Chemistry MCQs: A Benchmarking Follow-up Study on AI Use in Health Education

Malik Sallam, Kholoud Al-Mahzoum, Huda Eid, Khaled Al-Salahat, Mohammed Sallam, Guma Ali, Maad M. Mijwil

1-14

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DOI: https://doi.org/10.58496/BJAI/2025/001

Image Generation Using Generative AI: Comparison Between OpenAI Art and Stable Diffusion

Ismael Khaleel Khlewee

15-22

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DOI: https://doi.org/10.58496/BJAI/2025/002

Role of IoT and ML in Healthcare

Karthik Kumar Vaigandla

23-36

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DOI: https://doi.org/10.58496/BJAI/2025/003

Analyzing Trustworthy in AI: A Comprehensive Bibliometric Review of Artificial Intelligence Research

Klodian Dhoska , Elena Bebi

37-54

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DOI: https://doi.org/10.58496/BJAI/2025/004

Improving Diagnostic Accuracy of Brain Tumor MRI Classification Using Generative AI and Deep Learning Techniques

Chem Sokea , Soun Marina

55-63

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DOI: https://doi.org/10.58496/BJAI/2025/005

Optimizing Cloud Computing: Balancing Cost, Reliability, and Energy Efficiency

Raed A. Hasan, Teba Majed Hameed

64-71

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DOI: https://doi.org/10.58496/BJAI/2025/006

The Rise of Transformers – Redefining the Landscape of Artificial Intelligence

Nyagong Santino David Ladu , Benson Turyasingura, Byamukama Willbroad, Abraham Atuhaire

72-76

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DOI: https://doi.org/10.58496/BJAI/2025/007

Artificial Intelligence in Malware and Network Intrusion Detection: A Comprehensive Survey of Techniques, Datasets, Challenges, and Future Directions

Saif A. H. Moamin, Muhannad Kaml Abdulhameed , Rusul Mansoor Al-Amri, Ahmed Dheyaa Radhi, Rusul Kadhim Naser, Liaw Geok Pheng

77-98

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DOI: https://doi.org/10.58496/BJAI/2025/008

A Systematic Survey on Artificial Intelligence in 6G Wireless Networks: Security, Opportunities, Applications, Advantages, Future Research Directions and Challenges

Karthik Kumar Vaigandla

99-106

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DOI: https://doi.org/10.58496/BJAI/2025/009
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