Implementation of IoT Framework with Data Analysis Using Deep Learning Methods for Occupancy Prediction in a Building

Implementation of IoT Framework with Data Analysis Using Deep Learning Methods for Occupancy Prediction in a Building

Many countries worldwide face challenges in controlling building incidence prevention measures for fire disasters. The most critical issues are the localization, identification, detection of the room occupant. Internet of Things (IoT) along with machine learning proved the increase of the smartness...

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Bibliographic Details
Main Authors: Eric Hitimana, Gaurav Bajpai, Richard Musabe, Louis Sibomana, Jayavel Kayalvizhi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Future Internet
Subjects:
LSTM
deep learning
prediction analysis
Internet of Things
Online Access:https://www.mdpi.com/1999-5903/13/3/67

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https://www.mdpi.com/1999-5903/13/3/67

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