Artificial Neural Network for LiDAL Systems

Al-Hameed, AA, Younus, SH, Hussein, AT et al. (2 more authors) (2019) Artificial Neural Network for LiDAL Systems. IEEE Access, 7. pp. 109427-109438. ISSN 2169-3536

Abstract

Metadata

Authors/Creators:
  • Al-Hameed, AA
  • Younus, SH
  • Hussein, AT
  • Alresheedi, MT
  • Elmirghani, JMH
Copyright, Publisher and Additional Information: This article is protected by copyright. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/.
Keywords: Artificial neural networks , MISO communication , Optical transmitters , Sensors , Indoor environment , MIMO communication , Optical reflection; Neural Network , ANN , Optical indoor localization , VLC systems , people detection , counting , localization
Dates:
  • Published: 21 August 2019
  • Accepted: 2 August 2019
  • Published (online): 6 August 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/H040536/1
EPSRCEP/K016873/1
EPSRCEP/S016570/1
Depositing User: Symplectic Publications
Date Deposited: 14 Aug 2019 15:46
Last Modified: 03 Sep 2019 10:27
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/ACCESS.2019.2933470

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