Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …

In the past decade, Internet of Things (IoT) technologies have become more and more
pervasive, allowing the development of Ambient Intelligence and Context Awareness …

ABSTRACT COVID-19 was discovered near the end of 2019 in Wuhan, China. In a short
period, the virus had spread throughout the entire world. One of the primary concerns of …

Longer lines and increased demand for medical treatment result from population expansion.
When it comes to major illnesses like cancer, the situation is much awful. Instead of a …

Purpose The paper is to study a review of the employment of deep learning (DL) techniques
inside the healthcare sector, together with the highlight of the strength and shortcomings of …

Abstract Machine learning (ML) is a powerful method for uncovering hidden patterns in data
from the Internet of Things (IoT). These hybrid solutions intelligently improve decision …

The Social Internet of Things (SIoT) means that every node can use a set of nodes that are
considered as friends to search for a specific service. However, this is a slow process …

Background: The forecasting of daily outpatient visits has significant practical implications in
outpatient clinic operation management, not only contributing to guiding long-term resource …

Globally, 77% of the elderly aged 65 and above suffer from multiple chronic ailments,
according to recent research. However, several barriers within the healthcare system in the …

The technology that was developed during the fourth industrial revolution has contributed to
the recent surge of interest that has been seen in the field of medicine. In particular, the …