Abstract:
This paper presents a model of an occupancy detection system based on artificial neural networks and data stream processing. With already available datasets, an artificia...Show MoreMetadata
Abstract:
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.
Published in: 2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)
Date of Conference: 22-24 April 2020
Date Added to IEEE Xplore: 19 May 2020
ISBN Information:
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