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Articles (3)

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: 28 Sep 2024

Towards Low Complexity VLC Systems: A Multi-Task Learning Approach

Volume 1

In the rapidly evolving landscape of wireless communication, visible light communication (VLC) stands out for its potential to redefine high-speed data exchange. Recently, VLC has utilized waveforms that combine multiple bitstreams in a unified physical layer, allowing for high-speed data exchange, precise localization, and robust control simultaneously. Particularly, the demodulation tasks of beacon position modulation (BPM) and beacon phase shift keying (BePSK) are central to decoding of such waveforms and..

Journal: Communications & Networks Connect
Research Article

Published: 29 Jul 2024

Mirror, Mirror on the Wall: Automating Dental Smile Analysis with AI in Smart Mirrors

Volume 1

This paper presents a smart diagnostic framework for dental smile analysis. To accurately and efficiently identify esthetic issues from a single image of a smile, a convolutional neural network (CNN) was trained. To overcome the limitations of scarce data, a diffusion model was employed to generate dental smile images in addition to manually curated data. The CNN was trained and evaluated on three datasets: all real images, all generated images,..

Journal: Computing&AI Connect
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