Towards an Accurate Faults Detection Approach in Internet of Medical Things Using Advanced Machine Learning Techniques

Towards an Accurate Faults Detection Approach in Internet of Medical Things Using Advanced Machine Learning Techniques

Remotely monitoring people’s healthcare is still among the most important research topics for researchers from both industry and academia. In addition, with the Wireless Body Networks (WBANs) emergence, it becomes possible to supervise patients through an implanted set of body sensors that can commu...

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Bibliographic Details
Main Authors: Mohamed Bahache, Abdou El Karim Tahari, Jorge Herrera-Tapia, Nasreddine Lagraa, Carlos Tavares Calafate, Chaker Abdelaziz Kerrache
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
body sensor
cloud computing
clustering
fault detection
machine learning
WBANs
Online Access:https://www.mdpi.com/1424-8220/22/15/5893

Internet

https://www.mdpi.com/1424-8220/22/15/5893

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