Applications for human sensing, also known as (human) occupancy detection, include
energy management systems for intelligent buildings, intruder detection, e-health systems …

Electricity usage of buildings (including offices, malls, and residential apartments)
represents a significant portion of a nation's energy expenditure and carbon footprint. In the …

Machine Learning (ML) based on supervised and unsupervised learning models has been
recently applied in the telecommunication field. However, such techniques rely on …

In this paper, we define a cyber deception game between the Advanced Metering
Infrastructure (AMI) network administrator (henceforth, defender) and attacker. The defender …

Occupancy information is critical for buildings, as it can substantially impact energy
consumption. However, occupancy is highly unpredictable, and depends on occupants' …

Wi-Fi networks are becoming more and more ubiquitous and represent a substantial source
of energy consumption around the globe, mainly when it comes to Access Points (APs) …

As a known fact, energy usage and demand exponentially rises year after year, hence forth
power based companies are apparently looking out for a forecasting approach with better …

Precise fine-grained office occupancy detection can be exploited for energy savings in
buildings. Based on such information one can optimally regulate lighting and climatization …

Nowadays Digital Display Boards (DDB) are used to post information in a variety of
locations, including public spaces, hospitals, general stores, institutions, and colleges …

Energy consumption for both residential and non-residential buildings is significant and has
been increasing regularly. For non-residential buildings, asking the user to be directly …