Preference in Voice Commands and Gesture Controls With Hands-Free Augmented Reality With Novel Users
Hands-free augmented reality (HAR) has the potential of one day becoming our gateway to the Metaverse. However, the devices are still out […]
Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference
Although deep learning (DL)-enabled semantic communication (SemCom) has emerged as a 6G enabler by minimizing irrelevant information transmission – minimizing power usage, […]
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions
This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning (ZTP) for edge networks. Several advantages are also highlighted that come with […]
Exploring challenges and potential for a commercially viable piezoelectric energy harvesting system—Can Energy-as-Data concept thrive?
Over the past two decades, piezoelectric energy harvesting systems have undergone extensive research, spanning from materials to devices and electronics. Recently, there […]
Future of software development with generative AI
Generative AI is regarded as a major disruption to software development. Platforms, repositories, clouds, and the automation of tools and processes have […]
Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
Existing Cross-Domain Few-Shot Learning (CDFSL) methods require access to source domain data to train a model in the pre-training phase. However, due […]
Bayesian-Based Indoor Factory Positioning Using AOA, TDOA and Hybrid Measurements
This work proposes and assesses Bayesian-based localization methods using time difference of arrival, angle of arrival, and hybrid measurements. First, a Bayesian […]
Emotional Insights for Food Recommendations
Food recommendation systems have become pivotal in offering personalized suggestions, enabling users to discover recipes in line with their tastes. However, despite […]
Deep Learning for Visual Speech Analysis: A Survey
Visual speech, referring to the visual domain of speech, has attracted increasing attention due to its wide applications, such as public security, […]
PaCaS-WAA: Patch-Based Contrastive Semi-Supervised Learning with Wavelet Guidance and Adaptive Augmentation for Tumour Segmentation
In many image-guided clinical approaches, tumor segmentation is a fundamental and critical step for locating tumor involvement. However, the scarcity of annotated […]