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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 |
| 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. |
| URI: | https://scidar.kg.ac.rs/handle/123456789/12875 |
| Type: | conferenceObject |
| DOI: | 10.1109/DDECS50862.2020.9095715 |
| SCOPUS: | 2-s2.0-85085862230 |
| Appears in Collections: | Faculty of Technical Sciences, Čačak |
 | Page views(s)474 | Downloads(s)22 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PaperMissing.pdf Restricted Access | 29.86 kB | Adobe PDF |  View/Open |
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