With the development of IoT technology and low-cost indoor air quality (IAQ) sensors, the IoT-
based IAQ monitoring platform has garnered significant research interest and demonstrated …

Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …

Occupancy detection and prediction are two well-established problems which can be
improved further to achieve higher accuracy in both cases than the existing solutions. To …

Buildings substantially impact global energy usage and emit significant carbon dioxide.
Building occupancy is crucial to enabling energy conservation in buildings and achieving …

Building automation and the advancement of sustainability and safety in internal spaces
benefit significantly from occupancy sensing. While particular traditional Machine Learning …

In order to accomplish the task of real-time monitoring and prediction of fire temperature in
commercial buildings, this study proposes a sensor arrangement method based on sensor …

Real-time nonintrusive occupancy estimation can maximize the use of existing sensors to
infer occupant information in buildings with the advantages of fewer privacy concerns and …

Occupancy and behavior in buildings are considered to be key factors influencing energy
consumption. Residential areas contribute substantially to energy consumption in urban …

To enhance the applicability of standard fiber sensors in building fire scenarios, this study
conducted the temperature rise experiments of common single-mode and multi-mode fiber …

Outpatient waiting space (OWS) is a place with high risks of cross-infection and epidemic
transmission of infectious respiratory diseases in hospitals. The dynamic changes of …