Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …

This paper provides a comprehensive overview and analysis of research work on how
uncertainty is currently represented in software models. The survey presents the definitions …

Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …

Detecting complex events from subsymbolic data streams (such as images, audio
recordings or videos) is a challenging problem, as traditional symbolic approaches cannot …

The tremendous growth of positioning technologies and GPS enabled devices has
produced huge volumes of tracking data during the recent years. This source of information …

Abstract Human Activity Recognition (HAR) is a highly promising research area meant to
automatically identify and interpret human behaviour using data received from sensors in …

Complex event recognition (CER) has emerged as the unifying field for technologies that
require processing and correlating distributed data sources in real time. CER finds …

In recent decades, data aggregation and correlation have emerged as a significant and
challenging area of research for finding useful relationships between different features of …

The Internet of Things (IoT) has emerged from the proliferation of mobile devices and objects
connected, resulting in the acquisition of periodic event flows from different devices and …