This article presents a detailed survey on different data compression and storage
optimization techniques in the cloud, their implications, and discussion over future …

Trajectory data allow the study of the behavior of moving objects, from humans to animals.
Wireless communication, mobile devices, and technologies such as Global Positioning …

Building a rich and informative model from raw data is a hard but valuable process with
many applications. Ship routing and scheduling are two essential operations in the maritime …

Ontology is a significant data model for identifying semantic information for Coronavirus
disease (COVID-19) discovery. Large-scale biological and general datasets have recently …

Recognizing ship behavior is important for maritime situation awareness and intelligent
transportation management. Some scholars extracted ship behaviors from massive …

With the recent increase in the use of sea transportation, the importance of maritime
surveillance for detecting unusual vessel behavior related to several illegal activities has …

The detection of anomalies in vessel trajectories is a problem of great interest for all
maritime surveillance systems, since it may uncover strange, suspicious or di cult situations …

Trajectory mining aims to provide fundamental insights into decision-making tasks related to
moving objects. A fundamental pre-processing step for trajectory mining is trajectory …

Information deluge is still an issue in the maritime environment, creating situations where
data are sometimes underutilized or in more extreme cases, not utilized, in the decision …

In this paper we model spatio-temporal data describing the fishing activities in the Northern
Adriatic Sea over four years. We build, implement and analyze a database based on the …