Biomedical IoT: enabling technologies, architectural elements, challenges, and future directions
This paper provides a comprehensive literature review of various technologies and
protocols used for medical Internet of Things (IoT) with a thorough examination of current …
protocols used for medical Internet of Things (IoT) with a thorough examination of current …
Fuzzy consensus with federated learning method in medical systems
D Połap - IEEE Access, 2021 - ieeexplore.ieee.org
Large-scale group decision-making (LSGDM) is one of the main open problems where a
decision is made by many different results. Moreover, there is also a problem with how to …
decision is made by many different results. Moreover, there is also a problem with how to …
Edge–fog–cloud computing hierarchy for improving performance and security of NB-IoT-based health monitoring systems
This paper proposes a three-computing-layer architecture consisting of Edge, Fog, and
Cloud for remote health vital signs monitoring. The novelty of this architecture is in using the …
Cloud for remote health vital signs monitoring. The novelty of this architecture is in using the …
Deep learning based early detection framework for preliminary diagnosis of COVID-19 via onboard smartphone sensors
H Khaloufi, K Abouelmehdi, A Beni-Hssane, F Rustam… - Sensors, 2021 - mdpi.com
The COVID-19 pandemic has affected almost every country causing devastating economic
and social disruption and stretching healthcare systems to the limit. Furthermore, while …
and social disruption and stretching healthcare systems to the limit. Furthermore, while …