RF Energy Harvesting IoT System for Museum Ambience Control with Deep Learning

RF Energy Harvesting IoT System for Museum Ambience Control with Deep Learning

Museum contents are vulnerable to bad ambience conditions and human vandalization. Preserving the contents of museums is a duty towards humanity. In this paper, we develop an Internet of Things (IoT)-based system for museum monitoring and control. The developed system does not only autonomously set...

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Bibliographic Details
Main Authors: Nermeen A. Eltresy, Osama M. Dardeer, Awab Al-Habal, Esraa Elhariri, Ali H. Hassan, Ahmed Khattab, Dalia N. Elsheakh, Shereen A. Taie, Hassan Mostafa, Hala A. Elsadek, Esmat A. Abdallah
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
ambience monitoring
antenna array
deep learning
internet of things (iot)
rectenna
rf energy harvesting
time series prediction
Online Access:https://www.mdpi.com/1424-8220/19/20/4465

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https://www.mdpi.com/1424-8220/19/20/4465

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