Effective prediction and resource allocation method (EPRAM) in fog computing environment for smart healthcare system

Recently, many concepts in technology has been changed. According to the digital transformation trends, Internet of Things (IoT) represents an interested research issue. As the IoT grows, the data and the processes will need more space. The data in cases like healthcare, smart cities, autonomous veh...

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Veröffentlicht in:	Multimedia tools and applications Jg. 81; H. 6; S. 8235 - 8258
1. Verfasser:	Talaat, Fatma M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2022 Springer Nature B.V
Schlagworte:	Algorithms Cloud computing Computer Communication Networks Computer Science Data Structures and Information Theory Digital agriculture Energy consumption Health care Heart attacks Internet of Things Load balancing Machine learning Modules Multilayer perceptrons Multimedia Information Systems Network latency Real time Resource allocation Resource management Resource utilization Response time Special Purpose and Application-Based Systems System effectiveness Internet of Things (IoT) Resource Allocation Digital Technology smart Healthcare System Prediction Reinforcement Learning Fog Computing (FC) Digital Transformation Deep Learning (DL) Mobile HEALTH Dataset
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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