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Computing&AI Connect

ISSN: 3104-4719
Volumes

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Articles

 
open-access Research Article

Available Online: 14 Apr 2026

Attention-Based LSTM for Sign Language Recognition Leveraging Spatial-Temporal Keypoint

Volume 3

Journal: Computing&AI Connect
open-access Research Article

Available Online: 03 Apr 2026

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

Volume 3

Missing data frequently occur in research and if not properly addressed before analysis, can adversely affect the validity of findings. This article evaluates the efficiency of various imputation techniques as formal methods for replacing missing covariates’ data. Root Mean Squared Error (RMSE) were calculated for each missing data under mechanisms of MCAR and MAR to ascertain the method of imputation that yield lower values of RMSE under various simulation conditions...

Journal: Computing&AI Connect
open-access Research Article

Available Online: 17 Mar 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 Perspective

Available Online: 28 Jan 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 in fields such as business and finance with their cybersecurity analysis. In particular, LLMs are becoming vital in cybersecurity in providing more accurate solutions to different types of threats, vulnerabilities, and security challenges through pattern recognition, intelligent response generation, and automating threat detection. Although LLMs are pre-trained with a large amount of knowledge, their application in..

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: 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
open-access Review Article

Published: 12 May 2025

Artificial Intelligence at the Crossroads of Engineering and Innovation

Volume 2

The field of Artificial Intelligence (AI) is progressively transforming various advanced engineering disciplines, including mechanical, civil, electrical, aerospace, environmental, and biomedical engineering, through improved design, manufacturing, maintenance, and optimization methodologies. Yet, the disjointed and specialized state of the art too frequently prevents the cross-disciplinary application of AI solutions due to disparate performance measures, which result in reduced knowledge transfer and exaggerated performance in segregated domains. This study overcomes these issues..

Journal: Computing&AI Connect
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