0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Enhancing the detection performance of a vision-based occupancy detector for buildings

Author(s): ORCID (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK)
(Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK)
(Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK)
(Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK)
(Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK)
(Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK)
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Engineering Sustainability, , n. 6, v. 176
Page(s): 1-14
DOI: 10.1680/jensu.22.00013
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1680/jensu.22.00013.
  • About this
    data sheet
  • Reference-ID
    10689671
  • Published on:
    13/08/2022
  • Last updated on:
    14/01/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine