… to analyze and explore the occupancy information in buildings by integrating recent IoT and
Big Data technologies. We have used an occupancy detection dataset that includes indoor …

… Different from other methods, we build a machine-learning model for occupancy detection …
occupancy estimation in a smart building that contains five zones. The whole smart building is …

… sensors used for occupancy detection and comparison of the sensors. The architecture of
IoT sensors for occupancy detection and smart building occupancy detection is described in …

… the building to improve the accuracy of occupancy detection … efforts for occupancy monitoring
in smart buildings for energy… that are related to people occupancy. We also discussed the …

… Therefore, occupancy detection is imperative for energy use management mainly in residential
and industrial buildings. Most works related to data-driven-based occupancy detection …

… , a novel device-free occupancy detection and crowd counting … , we propose an effective
occupancy detection scheme by … to achieve 99.1% occupancy detection accuracy and 92.8% …

… With this work we aimed at evaluating the possibility of using iBeacon on Android devices
as a suitable technology for the occupancy detection in a smart building. The paper has shown …

… , with features extracted from multiple sensors aiming to improve the accuracy of occupancy
detection. The estimation took into account the correlation between the observation …

… providing accurate building occupancy data. We describe an occupant detection system that
… space, which can be scaled up for a building. Incorporating aspects from data analytics and …

… to occupancy detection, occupancy prediction, occupancy estimation, and energy-efficient
buildings. … : “occupancy detection”, “occupancy prediction”, “occupancy forecasting”, and “…