Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment

Rathore, Punit, Kumar, Dheeraj, Rajasegarar, Sutharshan and Palaniswami, Marimuthu 2018, Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment, in IEEE WF-IoT 2018 : Proceedings of 4th IEEE World Forum on Internet of Things, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 598-603, doi: 10.1109/WF-IoT.2018.8355144.

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Title Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment
Author(s) Rathore, Punit
Kumar, Dheeraj
Rajasegarar, SutharshanORCID iD for Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736
Palaniswami, Marimuthu
Conference name IEEE Internet of Things. Forum (4th : 2018 : Singapore)
Conference location Singapore
Conference dates 2018/02/05 - 2018/02/08
Title of proceedings IEEE WF-IoT 2018 : Proceedings of 4th IEEE World Forum on Internet of Things
Editor(s) [Unknown]
Publication date 2018
Series IEEE Internet of Things Forum
Start page 598
End page 603
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Bayes methods
computerised instrumentation
Internet of Things
maximum entropy methods
sensors
ISBN 9781467399449
Language eng
DOI 10.1109/WF-IoT.2018.8355144
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30110068

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