Enhancing the detection performance of a vision-based occupancy detector for buildings
| Auteur(s): |
Paige Wenbin Tien
(Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK)
Shuangyu Wei (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) Tin Wai Chow (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) Jo Darkwa (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) Christopher Wood (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) John Kaiser Calautit (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Proceedings of the Institution of Civil Engineers - Engineering Sustainability, 1 décembre 2023, n. 6, v. 176 |
| Page(s): | 1-14 |
| DOI: | 10.1680/jensu.22.00013 |
- Informations
sur cette fiche - Reference-ID
10689671 - Publié(e) le:
13.08.2022 - Modifié(e) le:
14.01.2024
Structurae coopère avec
