This research aims to probe the factors that influence patients' adoption of IoT for Healthcare
4.0. A research framework based on the Unified Theory of Acceptance and Use of …

To ensure healthy lives and promoting well-being for all in the society at all ages is one of
the goals of United Nations. Specially, health of elderly people plays an important factor in …

This study examines factors influencing patients' adoption of the IoT for e-Health
Management System (e-HMS). A conceptual framework is built by applying the Unified …

This paper systematically reviews previous studies about Internet of Things (IoT)-based
systems and applications for elderly healthcare. The review aims to achieve several …

The conventional medical assistive strategy for wearable devices involves sensing
physiological signals and subsequent analysis while it lacks the capability for visual …

The EU project Pharaon aims to support older European adults by integrating digital
services, tools, interoperable open platforms, and devices. One of the objectives is to …

Federated learning is a machine learning technique that allows multiple devices to
collaboratively train a machine learning model without having to share their raw data. This is …

This article discusses recent developments in the area of interoperable Internet of Things,
using an example of delivering data-driven transportation services. Initial results obtained by …

After the experience of the COVID-19 pandemic, it has become evident that efficient and
secure interoperability of medical information is crucial for effective diagnoses and medical …

Abstract A Multiagent System (MAS) refers to a network of agents collaborating to achieve
same objective. This system comprises numerous individual programs or hardware …