Machine Learning Based Approach for Indoor Localization Using Ultra-Wide Bandwidth (UWB) System for Industrial Internet of Things (IIoT)

Che, F, Ahmed, A, Ahmed, QZ et al. (2 more authors) (2020) Machine Learning Based Approach for Indoor Localization Using Ultra-Wide Bandwidth (UWB) System for Industrial Internet of Things (IIoT). In: IEEE Proceedings of the 2020 UK/China Emerging Technologies (UCET) conference. 5th International Conference on the UK-China emerging technologies (UCET) 2020, 20-21 Aug 2020, University of Glasgow, Glasgow, United Kingdom. IEEE . ISBN 978-1-7281-9489-9

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Keywords: UWB , IPS , localization , ML , Naive Bayes.
Dates:
  • Published: 20 August 2020
  • Accepted: 27 July 2020
  • Published (online): 29 September 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Aug 2020 13:00
Last Modified: 10 Dec 2020 00:53
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/UCET51115.2020.9205352

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