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Computing&AI Connect

ISSN: 3104-4719
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Volume 2

Articles

All Articles
Research Article

Published: 07 May 2025

A Novel Transformer Reinforcement Learning-Based NFV Service Placement in MEC Networks

Volume 2

The advent of 5G networks has facilitated various Industry 4.0 applications requiring stringent Quality-of-Service (QoS) demands, notably Ultra-Reliable Low-Latency Communication (URLLC). Multi-Access Edge Computing (MEC) has emerged as a key technology to support these URLLC applications by bringing computational resources closer to the user, thus reducing latency. Meanwhile, Network Function Virtualization (NFV) supports 5G networks by offering flexibility and scalability in service provisioning across various applications. Despite their benefits, MEC..

Journal: Computing&AI Connect
Research Article

Published: 06 May 2025

Comprehensive Classification of Web Tracking Systems: Technological Insights and Analysis

Volume 2

Web tracking (WT) systems are advanced technologies that are used to monitor and analyze online user behavior. Initially focused on HTML and static webpages, these systems have evolved with the proliferation of IoT, edge computing, and Big Data, encompassing a broad array of interconnected devices with APIs, interfaces, and computing nodes for interaction. WT systems are pivotal in technological innovation and business development, although trends like GDPR complicate data extraction..

Journal: Computing&AI Connect
Research Article

Published: 20 Mar 2025

Prediction of Cognitive Impairment Using a Deep Learning Autoencoder Algorithm from a Singapore Study

Volume 2

Dementia is a decline in cognitive function, typically diagnosed when the acquired impairment becomes severe enough to impact social or occupational functioning. Between no cognitive impairment (NCI) and dementia, there are many intermediate states. Predictive cognitive impairment can be useful for initiating treatment to prevent further brain damage. Several deep learning-based approaches have been proposed for the classification of Magnetic Resonance Imaging (MRI) to diagnose Alzheimer’s disease (AD) or dementia...

Journal: Computing&AI Connect
Review Article

Published: 04 Mar 2025

Security and Privacy in the IIoT: Threats, Possible Security Countermeasures, and Future Challenges

Volume 2

Journal: Computing&AI Connect
Systematic Review

Published: 07 Feb 2025

A Systematic Review on the Integrating Artificial Intelligence for Enhanced Fault Detection in Power Transmission Systems: A Smart Grid Approach

Volume 2

Modern electrical systems rely on sensors and relays for fault detection in three-phase transmission lines and distribution transformers, but these devices often face time complexity issues and false alarms. In this study, the fault detection accuracy is compared in models studied in 2023 and 2024 following PRISMA guidelines. The objectives were to identify fault types, utilize machine learning models to assess their predictive efficacy, and establish accuracy levels. To explore..

Journal: Computing&AI Connect
Research Article

Available Online: 11 Dec 2025

Enhancing Pest Management in Precision Agriculture: Integration of Improved YOLOv5 and IoT Technology for Efficient Codling Moth Detection

Volume 2

Journal: Computing&AI Connect
Research Article

Available Online: 17 Nov 2025

Security Assurance for 5G Split gNB and AMF Vulnerabilities

Volume 2

Journal: Computing&AI Connect
Research Article

Available Online: 10 Nov 2025

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

Volume 2

Intelligent Reflecting Surfaces (IRS) are pivotal for energy-efficient 6G networks, yet optimizing their performance for simultaneous high data rates and energy efficiency remains a complex challenge. This paper leverages artificial intelligence (AI) to address this problem by introducing a novel AI-based optimization algorithm: Dynamic and Static Particle Swarm Optimization (DS-PSO). The proposed AI method intelligently learns the optimal phase-shift configuration for IRS elements, dynamically balancing exploration and exploitation to maximize..

Journal: Computing&AI Connect
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