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Computing&AI Connect

ISSN: 3104-4719
Volumes

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Articles

 
open-access Research Article

Published: 11 May 2026

Attention-Based LSTM for Sign Language Recognition Leveraging Spatiotemporal Keypoints

Volume 3

Journal: Computing&AI Connect
open-access Research Article

Published: 12 May 2026

A Comparative Evaluation of Imputation Techniques for Missing Data: A Simulation-Based Analysis

Volume 3

Missing data are a common occurrence in research and, if not appropriately addressed prior to analysis, may compromise the validity of study findings. This article evaluates the effectiveness of various imputation techniques as formal approaches for handling missing covariate data. Root Mean Squared Error (RMSE) was computed for each imputation method under Missing Completely at Random (MCAR) and Missing at Random (MAR) mechanisms to identify the technique that yielded the..

Journal: Computing&AI Connect
open-access Research Article

Published: 02 Apr 2026

Temporal DNA-Based Key Derivation and Metadata Fingerprinting for Secure On-Device Digital Forensics in IoT Systems

Volume 3

Journal: Computing&AI Connect
open-access Mini-Review

Published: 26 Mar 2026

Fine-Tuning vs. RAG: A Position Paper from the Perspective of LLM-Based Cybersecurity Modeling

Volume 3

Large Language Models (LLMs) have revolutionized natural language processing (NLP) tasks, enabling critical capabilities across domains such as business, finance, and cybersecurity analysis. In particular, LLMs are becoming increasingly important in cybersecurity by supporting threat and vulnerability analysis, intelligent response generation, pattern recognition, and automated threat detection. Although LLMs are pre-trained with a large amount of knowledge, their application to specific domains, such as cybersecurity, is often limited by insufficient..

Journal: Computing&AI Connect
open-access Editorial

Published: 31 Dec 2025

Preface

Volume 2

Volume 2 of Computing&AI Connect (CAIC) presents 21 high-quality, peer-reviewed research articles that reflect CAIC’s commitment to advancing the theory, design, and application of computing and artificial intelligence–driven systems. Volume 2 articles cover contemporary challenges in intelligent systems, communication networks, security, data analytics, and human-centered technologies. They also contribute to the development of foundational methodologies and interdisciplinary perspectives. A central focus of this volume is the pervasive role of artificial..

Journal: Computing&AI Connect
open-access Research Article

Published: 30 Dec 2025

Sheaf Cohomology for Fragment-Sequencing in Hierarchical Block Rectangular Matrices with Spectral Gaps in the Presence of Random Effects and White Noise: The Chain

Volume 2

The sheaf cohomology of topological shift for the block-rectangular matrix-representation of the hierarchical Markov Model incorporates an analytic formulation of white noise and of random effects. New analytical techniques for fragment sequencing are developed. The fragment sequencing is obtained after the topological Markov chain of the adjacency matrix of the corresponding undirected graph; the presence of white noise and that of random effects are included. The paradigm consists in defining..

Journal: Computing&AI Connect
open-access Research Article

Published: 20 Dec 2025

The Human Intelligence linguistic Variable Is a Potential Fuzzy Computational Model for the Natural Languish Expression Human Intelligence

Volume 2

This paper presents a fuzzy, computational model for the natural-language term ‘human intelligence’. This mathematical model accounts for multiple interpretations of the term ‘intelligent’ and enables comparison of these interpretations for a given IQ score. The model is a linguistic variable–based mathematical framework specifically designed to represent human intelligence. The model is constructed systematically throughout the paper. First, the term ‘human intelligence’ is represented as a fuzzy set. This step..

Journal: Computing&AI Connect
open-access Review Article

Published: 29 Dec 2025

Computing and AI in Genomics-Driven Precision Oncology: Methods, Trials, and Translation

Volume 2

Journal: Computing&AI Connect
open-access Research Article

Published: 19 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
open-access Research Article

Published: 08 Dec 2025

Security Assurance for 5G Split gNB and AMF Vulnerabilities

Volume 2

Journal: Computing&AI Connect
open-access 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
open-access Research Article

Published: 24 Oct 2025

The Application of IoT Technology in Social Work: Innovative Models for Home Care of the Elderly

Volume 2

Journal: Computing&AI Connect
open-access Research Article

Published: 19 Sep 2025

Rewiring Education for a Super-Smart Society: Cognitive Integrity, AI Ethics, and the Future of Knowledge

Volume 2

Journal: Computing&AI Connect
open-access Editorial

Published: 16 Sep 2025

Revolutionizing Cardio-Oncology: Utilizing Artificial Intelligence to Build a Cutting-Edge Cancer Registry in Pakistan

Volume 2

Cardio-oncology is a specialized field focused on delivering effective cancer therapies while minimizing cardiotoxicity. It also involves strategies for the timely identification and appropriate management of cardiovascular complications arising from cancer treatment. Cancer patients have the highest mortality from cardiovascular disease, underscoring the critical importance of the field of cardio-oncology. Currently, data on the outcomes of specialized cardio-oncology services are limited, highlighting a pressing need to establish a comprehensive and..

Journal: Computing&AI Connect
open-access Review Article

Published: 05 Oct 2025

Secure and Privacy-Preserving Data Management in Train Coupling/Decoupling Scenarios: A Comprehensive Review and Future Perspectives

Volume 2

Journal: Computing&AI Connect
open-access Research Article

Published: 08 Aug 2025

An Enhanced Puma Optimized Reinforcement Learning Model for Detection of Results Anomalies in Higher Education

Volume 2

Journal: Computing&AI Connect
open-access Research Article

Published: 21 Jul 2025

A Novel MLLM-Based Approach for Autonomous Driving in Different Weather Conditions

Volume 2

Journal: Computing&AI Connect
open-access Research Article

Published: 21 Jul 2025

AI Enabled Facial Emotion Recognition Using Low-Cost Thermal Cameras

Volume 2

Journal: Computing&AI Connect
open-access Research Article

Published: 14 Jul 2025

Exploring a Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets

Volume 2

COVID-19 has created a major public health problem worldwide and other issues such as economic crisis, unemployment, mental distress, etc. The pandemic has affected people not only through infection but also by causing stress, worry, fear, resentment, and even hatred. Twitter is a highly influential social media platform and a major source of health-related information, news, opinions, and public sentiment, with content shared by both individuals and official government sources...

Journal: Computing&AI Connect
open-access Research Article

Published: 23 Jun 2025

Quantum-Safe Networks for 6G: An Integrated Survey on PQC, QKD, and Satellite QKD with Future Perspectives

Volume 2

Quantum computing poses significant challenges to the current cryptographic landscape, particularly with the upcoming deployment of 6G networks. Traditional cryptographic algorithms, such as Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC), are vulnerable to quantum-based attacks. This vulnerability has led to the development of Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), and Satellite-based QKD solutions. This paper provides a comprehensive review of these quantum-safe technologies, discussing their integration within the context..

Journal: Computing&AI Connect
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