In this article, we cumulate previous research findings indicating that machine learning
algorithms are pivotal in COVID-19 detection and monitoring. We contribute to the literature …

Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount
of raw data into beneficial medical decisions for treatment and care has increased in …

As of late 2019, the COVID19 pandemic has been causing huge concern around the world.
Such a pandemic posed serious threats to public safety, the well‐being of healthcare …

Wireless body area networks (WBANs) are helpful for remote health monitoring, especially
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …

Increased use of ultra-wideband (UWB) in biomedical applications based on wireless body
area networks (WBAN) opens a variety of options in the field of biomedical research. WBAN …

The purpose of this study is to examine wearable medical sensor devices, machine and
deep learning algorithms, and Internet of Things-based healthcare systems in COVID-19 …

This article reviews and advances existing literature concerning machine and deep learning
algorithms, computer vision technologies, and Internet of Things-based healthcare …

Based on an in-depth survey of the literature, the purpose of the paper is to explore remote
patient monitoring systems, wearable Internet of Medical Things sensor devices, and deep …

Federated learning is an approach of training the global model on the server by utilizing the
personal data of the end users while data privacy is preserved. The users, referred to as …

Federated learning is a novel approach of training the global model on the server by utilizing
the personal data of the end users while data privacy is preserved. The users called clients …