Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/12875
Title: IoT Based Occupancy Detection System with Data Stream Processing and Artificial Neural Networks
Authors: Markovic D.
Vujičić, Dejan
Stamenković Z.
Randjić, Siniša
Journal: Proceedings - 2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2020
Issue Date: 1-Apr-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.
URI: https://scidar.kg.ac.rs/handle/123456789/12875
Type: Conference Paper
DOI: 10.1109/DDECS50862.2020.9095715
SCOPUS: 85085862230
Appears in Collections:Faculty of Technical Sciences, Čačak
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