Ship** is one of the major transportation approaches around the world. With the growing
demands for global ship** service, vessel destination prediction has shown its significant …

Due to the vast amount of available tracking sensors in recent years, high-frequency and
high-volume streams of data are generated every day. The maritime domain is no different …

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 this paper we motivate the need for real-time vessel behaviour classification and describe
in detail our event-based classification approach, as implemented in our real-world industry …

To detect the abnormal behaviour of ships in the waters of any jurisdiction and to improve
the safety of maritime navigation, the meshing-based method is adopted to obtain discrete …

The global expansion of maritime activities and the development of the Automatic
Identification System (AIS) have driven the advances in maritime monitoring systems in the …

Recent advancements in sensor and tracking technologies have facilitated the real-time
tracking of marine vessels as they traverse the oceans. As a result, there is an increasing …

Complex Event Recognition (CER) systems are a prominent technology for finding user-
defined query patterns over large data streams in real time. CER query evaluation is known …

Event and activity modelling and recognition is at the centre of situational awareness (SA).
Being able to detect and extract useful semantic information from diverse data sources in the …

This study presents a formulation of the Superposition Theorem (ST) in the spectrum space,
tailored for the analysis of composite events in an active distribution network (ADN). Our …