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Computing&AI Connect

ISSN: 3104-4719
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Special Issues

Artificial Intelligence Advances in Computing Networks and Systems

A special issue of Computing&AI Connect (3104-4719)

Submission Deadline: April 30, 2026 Published Articles: 2 Submit your Article Share

Special Issue Editors

Sufyan Almajali
Sufyan Almajali

Guest Editor

Computer Science Department Princess Sumaya University Amman Jordan

Mohamed Rahouti
Mohamed Rahouti

Guest Editor

Department of Computer and Information Science Fordham University New York USA

Special Issue Information

This special issue will highlight recent research and developments at the intersection of artificial intelligence, computing networks, and systems.

Topics of interest

The issue will cover a range of topics, including, but not limited to:

  • AI-driven optimization and decision-making in network systems
  • Machine learning applications in distributed and edge computing
  • Intelligent architectures and autonomous computing
  • AI-enhanced network security and management
  • Applications in IoT, cloud computing, and smart systems
Target Audience

Researchers are invited to submit original research articles, reviews, and visionary perspectives relevant to the scope of the special issue.

Benefits of submitting by the deadline
  • No article processing charges
  • Complimentary language editing

For further details, please contact the editorial office at: info@scifiniti.com

Articles

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Research Article

Published: 25 Nov 2025

6G Communication Systems Utilizing Intelligent Reflective Surfaces for Improved Data Rates Based on AI

Volume 2

Intelligent Reflecting Surfaces (IRSs) are essential for energy-efficient 6G networks; however, enhancing their performance to attain both elevated data rates and energy efficiency continues to be a formidable challenge. This paper uses artificial intelligence (AI) to solve this problem by creating a new AI-based optimization algorithm called Dynamic and Static Particle Swarm Optimization (DS-PSO). The suggested AI method intelligently learns the best phase-shift settings for IRS elements, balancing exploration and..

Journal: Computing&AI Connect
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