International Journal of Information Technologies and Artificial Intelligence

The International Journal of Information Technologies and Artificial Intelligence (IJITAI) is a peer-reviewed publication focused on the latest research and developments in the fields of information technologies (IT) and artificial intelligence (AI). The journal provides a platform for scholars, researchers, and practitioners to share their findings, contribute to knowledge, and discuss the practical implications of their work. IJITAI publishes original research articles, reviews, and case studies that reflect significant advancements and applications in IT and AI.

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Current Issue

Vol. 8 No. 8 (2024): International Journal of Information Technologies and Artificial Intelligence

Published: 2024-08-02

Articles

Architectural Patterns and Challenges in Spring Boot for Microservices: Evaluating Automation Strategies for Scaling, Monitoring, and Deployment in Complex Software Ecosystems

Nurul Huda Ahmad

1-9

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Challenges and Opportunities in Implementing Data Governance Frameworks for Data Lakes: A Critical Review of Regulatory and Ethical Considerations

Nurul Huda Ahmad

10-20

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Advanced Applications of 5G, UAV, and Predictive Maintenance in Smart Grids, Autonomous Vehicles, and Network Function Virtualization

Rustam Mukhitdinov, Gulnaz Alimova

21-30

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Cross-Asset Risk Management and Fraud Detection: Assessing the Role of Multidimensional Data Analytics in Modern Financial Trading

Dang Quoc Bao, Rustam Mukhitdinov

31-41

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A Framework for Integrating Data Architecture and Security Mechanisms in Multi-Domain Environments: Addressing Efficiency, Analytical Rigor, and Decision-Making Accuracy

Mostafa Hamdy, Hassan Qassem

42-54

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© 2024 International Journal of Information Technologies and Artificial Intelligence (IJITAI). All rights reserved. No part of this publication may be reproduced or distributed without prior written permission from the publisher, except for brief quotations in reviews or scholarly works. Authors retain copyright and may archive their work in institutional repositories with proper citation. Third-party content requires appropriate permissions, which authors must secure before submission.