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Computing&AI Connect

ISSN: 3104-4719
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Volume 2

Articles

All Articles
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
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
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
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
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
Research Article

Published: 21 Jul 2025

AI Enabled Facial Emotion Recognition Using Low-Cost Thermal Cameras

Volume 2

While expensive hardware has historically dominated emotion recognition, our research explores the viability of cost-effective alternatives by utilising IoT-based low-resolution cameras with Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs). In this work, we introduce a novel dataset specifically for thermal facial expression recognition and conduct a comprehensive performance analysis using ResNet, a standard ViT model developed by Google, and a modified ViT model tailored to be trained on smaller..

Journal: Computing&AI Connect
Research Article

Published: 21 Jul 2025

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

Volume 2

Journal: Computing&AI Connect
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
Research Article

Published: 20 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
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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