AIMC Topic: Computer Communication Networks

Clear Filters Showing 51 to 60 of 97 articles

A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.

International journal of environmental research and public health
AIM: In this study we have investigated the problem of cost effective wireless heart health monitoring from a service design perspective.

The Times they Are a-Changin' - Healthcare 4.0 Is Coming!

Journal of medical systems
The Industrial Revolution brought new economics and new epidemic patterns to the people, which formed the healthcare 1.0 that focused on public health solutions. The emergence of large production concept and technology brought healthcare to 2.0. Bigg...

Adaptive fuzzy flow rate control considering multifractal traffic modeling and 5G communications.

PloS one
In this paper, we propose a predictive Generalized OBF (Orthonormal Basis Functions)-Fuzzy flow control scheme for the 5G downlink by deriving an expression for the optimal control rate of the traffic sources considering minimization of data delay an...

A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.

BMC medical informatics and decision making
BACKGROUND: Mobile health (MH) technologies including clinical decision support systems (CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is based on real-time sensor data and historical electronic health record (...

Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System.

Computational intelligence and neuroscience
A multiuser detection (MUD) algorithm based on deep learning network is proposed for the satellite mobile communication system. Due to relative motion between the satellite and users, multiple access interference (MUI) introduced by multipath fading ...

Distributed learning from multiple EHR databases: Contextual embedding models for medical events.

Journal of biomedical informatics
Electronic health record (EHR) data provide promising opportunities to explore personalized treatment regimes and to make clinical predictions. Compared with regular clinical data, EHR data are known for their irregularity and complexity. In addition...

A compact network learning model for distribution regression.

Neural networks : the official journal of the International Neural Network Society
Despite the superior performance of deep learning in many applications, challenges remain in the area of regression on function spaces. In particular, neural networks are unable to encode function inputs compactly as each node encodes just a real val...

Resilience of and recovery strategies for weighted networks.

PloS one
The robustness and resilience of complex networks have been widely studied and discussed in both research and industry because today, the diversity of system components and the complexity of the connection between units are increasingly influencing t...

An Artificial Neural Network Framework for Gait-Based Biometrics.

IEEE journal of biomedical and health informatics
As the popularity of wearable and the implantable body sensor network (BSN) devices increases, there is a growing concern regarding the data security of such power-constrained miniaturized medical devices. With limited computational power, BSN device...