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Title: IoT Based Occupancy Detection System with Data Stream Processing and Artificial Neural Networks
Authors: Markovic D.
Vujičić, Dejan
Stamenković Z.
Randjić, Siniša
Issue Date: 2020
Abstract: © 2020 IEEE. This paper presents a model of an occupancy detection system based on artificial neural networks and data stream processing. With already available datasets, an artificial neural network was trained and the accuracy of 98.88% was achieved. Furthermore, data stream processing can be used as a part of the system for collecting and analysing data from IoT devices and their sensors.
Type: conferenceObject
DOI: 10.1109/DDECS50862.2020.9095715
SCOPUS: 2-s2.0-85085862230
Appears in Collections:Faculty of Technical Sciences, Čačak

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