Building occupancy information could aid energy preservation while simultaneously
maintaining the end-user comfort level. Energy conservation becomes essential since …

Many countries worldwide face challenges in controlling building incidence prevention
measures for fire disasters. The most critical issues are the localization, identification …

The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …

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

Accurate occupancy prediction in smart buildings is a key element to reduce building energy
consumption and control HVAC systems (Heating–Ventilation and–Air Conditioning) …

For several years now, smart building energy systems have been a research area of
intensive activity. In light of the increasing need for sustainable buildings and energy …

This paper introduces a vision-based deep learning approach that enables the detection
and recognition of occupants' activities within building spaces. The data can feed into …

In this article, we propose a novel approach to detect the occupancy behavior of a building
through the temperature and/or possible heat source information. The new method can be …

Recent advancements in the Internet of Things and Machine Learning techniques have
allowed the deployment of sensors on a large scale to monitor the environment and model …

The proliferation of sensing technologies has allowed the collection of occupancy-related
data to support various building applications, including adaptive HVAC and lighting controls …