The COVID-19 pandemic has resulted in unparalleled global impacts on human mobility. In
the ocean, ship-based activities are thought to have been impacted due to severe …

To assess the collision risk of ferries in the Yangtze River during crossing, the collision risk
modeling is conducted based on AIS data. Risk Influencing Factors (RIFs) including …

Radar signal occlusion due to islands and large ships occurs frequently in maritime
environments, degrading the performance of marine radar target detection and tracking. In …

Abstract AIS (Automatic Identification System) is a widely used source of data to spatially
and temporally characterize marine vessel traffic and to subsequently estimate the direct …

Trace elements (TEs) frequently contaminate coastal marine sediments with many included
in priority chemical lists or control legislation. These, improved waste treatment and …

This paper presents a deep-learning-based method to detect recreational vessels. The
method takes advantage of existing underwater acoustic measurements from an Estuarine …

Coupled with digital-enabled Industry 4.0 development, shipping operators increasingly
leverage popular digital technologies to innovate green shipping practices. This study …

An increasing number of marine conservation initiatives rely on data from Automatic
Identification System (AIS) to inform marine vessel traffic associated impact assessments …

As populations of large whales recover from whaling, species that forage and breed in
coastal waters, including the humpback whale (Megaptera novaeangliae), increasingly …

Motorized vessels are a major source of anthropogenic noise and can have adverse effects
on species relying on sound for communication and feeding. Monitoring noise levels …