Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …

This study provides a bibliometric review of 279 studies on the applications of big data and
artificial intelligence (AI) in the maritime industry, published in 214 academic outlets …

Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …

The advent of connected devices and omnipresence of Internet have paved way for
intruders to attack networks, which leads to cyber-attack, financial loss, information theft in …

Owing to the space–air–ground integrated networks (SAGIN), seaborne ship** has
attracted increasing interest in the research on the motion behavior knowledge extraction …

The automatic identification system (AIS) was introduced in the maritime domain to increase
the safety of sea traffic. AIS messages are transmitted as broadcasts to nearby ships and …

With the mandatory implementation of the automatic identification system and the rapid
advancement of relevant satellite communication technologies, a vast amount of vessel …

The automatic identification system (AIS) tracks vessel movement by means of electronic
exchange of navigation data between vessels, with onboard transceiver, terrestrial, and/or …

This paper proposes a method for detecting and classifying ship abnormal behaviour in ship
trajectories. The method involves generating parameter profiles for the ship's trajectory and …

Maritime traffic safety influences the development of world economies. A major aspect to
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …