During the last years, a number of studies have experimented with applying process
discovery techniques with the goal of automatically modelling human routines as if they …

During the last years, a number of studies have experimented with applying process mining
(PM) techniques to smart spaces data. The general goal has been to automatically model …

The increasing number of IoT devices equipped with sensors and actuators pervading every
domain of everyday life allows for improved automated monitoring and analysis of …

More and more so-called IoT-enhanced business processes (BPs) are supported by IoT
devices, which collect large amounts of data about the execution of such processes. While …

Event logs are invaluable for conducting process mining projects, offering insights into
process improvement and data-driven decision-making. However, data quality issues affect …

Scientific contributions in the area of smart environments cover different tasks of ambient
intelligence including action and activity recognition, anomaly detection, and automated …

Few-shot semantic segmentation (FSS), which can perform segmentation using only a
limited number of annotated examples, is a promising technique that has been embedded in …

Human activities represent a major source of information for smart home automation. While
performing their daily activities, humans trigger sensors producing measurements that flow …

As the degree of elders' social activity and self-care ability depreciates, the potential risk for
elderly people who live independently increases. The development of assistive services …

A smart space is an environment outfitted with sensors and actuators that, starting from the
raw measurements provided by the former, is able to provide services to humans, assisting …