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Now showing items 1-10 of 16
Applying big data methods to understanding human behavior and health
(
Frontiers Media S.A.
, 2018 , Article)
[No abstract available]
Energy-efficient networks selection based deep reinforcement learning for heterogeneous health systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Smart health systems improve the existing health services by integrating information and technology into health and medical practices. However, smart healthcare systems are facing major challenges including limited network ...
Alcohol Consumption, Early-Onset Drinking, and Health-Related Consequences in Adolescents Presenting at Emergency Departments in England
(
Elsevier
, 2017 , Article)
PurposeGlobally, alcohol use is the leading cause of ill health and life years lost in adolescents, although its clinical impact is often overlooked, particularly in England where most research is based in schools. This ...
Notice of Retraction: Electromagnetic Radiation Due to Cellular, Wi-Fi and Bluetooth Technologies: How Safe Are We?
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Other)
The electromagnetic radiation (EMR) emitted out of wireless communication modules in various IoT devices (especially used for healthcare applications due to their close proximity to the body) have been identified by ...
Editorial: Workplace Physical Activity and Health Risks: A Need for Effective Screening and Intervention Strategies
(
OMICS International
, 2015 , Article)
The World Health Organisation (WHO) has adopted a global strategy on physical activity and health since 2005, with an aim to reduce and reverse the constant rise in these health risks globally [1]. However, most recent ...
Estimation of health-related quality of life in the presence of missing Values in EQ-5D
(
Hindawi Limited
, 2021 , Article)
One of the notes worthy problems in analysis of clinical and observational studies is missing data and nonresponse from patients. Turning a blind eye to the missing behavior may provide biased results with overestimated ...
Particle swarm clustering fitness evaluation with computational centroids
(
Elsevier B.V.
, 2017 , Article)
In this paper, we propose a new way to carry out fitness evaluation in dynamic Particle Swarm Clustering (PSC) with centroid-based encoding. Generally, the PSC fitness function is selected among the clustering validity ...
Performance-based prognosis scheme for industrial gas turbines
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, we present a novel method for performance-based prognostics of industrial gas turbines. The concept of performance adaptation is implemented through a dynamic engine model that is developed in Matlab/Simulink ...
I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The rapid evolution of remote health monitoring applications is foreseen to be a crucial solution for facing an unpredictable health crisis and improving the quality of life. However, such applications come with many ...
Forecasting the health of gas turbine components through an integrated performance-based approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this study, we present an integrated method for detecting and forecasting the health of gas turbine components as degraded over time. An advanced model-based real time performance adaptation approach is developed for ...