A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …

Abstract The Internet of Things (IoT) consists of heterogeneous devices such as wearables
and monitoring devices that collect data to provide autonomous decision-making and smart …

With the rapid development of enabling technologies like VR and AR, we human beings are
on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an …

Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …

Internet of Things (IoT) devices often operate with limited resources while interacting with
users and their environment, generating a wealth of data. Machine learning models interpret …

In the era of deep learning (DL), convolutional neural networks (CNNs), and large language
models (LLMs), machine learning (ML) models are becoming increasingly complex …

Ensemble-based collaborative inference systems, Edge Ensembles, are deep learning edge
inference systems that enhance accuracy by aggregating predictions from models deployed …

In recent years, vehicle detection has become vital for applications ranging from
autonomous driving to traffic control, surveillance, and monitoring. The demand for efficient …

In higher vocational English teaching, delivering teaching materials promptly and enabling
instantaneous feedback is crucial for effective language learning. This paper presents a …