This paper aims at examining the trends, challenges and theoretical gaps in the
implementation of Healthcare 4.0 (H4. 0) based on a sco** review of the literature. For …

A medical cyber–physical system (MCPS) is a unique cyber–physical system (CPS), which
combines embedded software control devices, networking capabilities, and complex …

The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …

Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …

The world has been facing the challenge of COVID-19 since the end of 2019. It is expected
that the world will need to battle the COVID-19 pandemic with precautious measures, until …

Purpose Electronic word of mouth in the form of user-generated content (UGC) in social
media plays an important role in influencing customer decision-making and enhancing …

Federated learning enables training a global model from data located at the client nodes,
without data sharing and moving client data to a centralized server. Performance of …

Healthcare systems are transformed digitally with the help of medical technology,
information systems, electronic medical records, wearable and smart devices, and handheld …

Micro-energy harvesting (MEH) is a technology of renewable power generation which is a
key technology for hosting the future low-powered electronic devices for wireless sensor …

Big data has revolutionized the world by providing tremendous opportunities for a variety of
applications. It contains a gigantic amount of data, especially a plethora of data types that …