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.

Vol. 2026 (2026)

Published: 2026-01-10

Hybrid AI-Driven IDS for IoT Using Cooja and Explainable Deep Learning

Zainab Ali Abbood, Raghad Tariq Al_Hassani, Mahmoud Shuker Mahmoud, Haider D. Albonda

1-19

Enhanced Network Intrusion Detection through Conditional GAN-based Minority Class Augmentation

Rawaa M. Aljubouri, Esraa Muneam Abdulhussein, Zainab A. Abdulazeez

24-45

Mapping the Evolving Landscape of Ransomware Research: A Bibliometric Analysis for Cybersecurity Advancements

Fauzi Adi Rafrastara, Pulung Nurtantio Andono, Purwanto, Pujiono, Deshinta Arrova Dewi, Mohd. Faizal Abdollah

46-76

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