[HTML][HTML] Emerging approaches applied to maritime transport research: Past and future
Maritime transport is the backbone of international trade and globalization. Maritime
transport research can be roughly divided into two categories, namely the ship** side and …
transport research can be roughly divided into two categories, namely the ship** side and …
AIS data driven general vessel destination prediction: A random forest based approach
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 …
demands for global ship** service, vessel destination prediction has shown its significant …
A deep learning streaming methodology for trajectory classification
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 …
high-volume streams of data are generated every day. The maritime domain is no different …
Classification of vessel activity in streaming data
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 …
in detail our event-based classification approach, as implemented in our real-world industry …
Vessel destination prediction: A stacking approach
This paper proposes a stacking model for ship destination prediction that incorporates both
a static model of historical information, based on a Bayesian neural network (BNN) and a …
a static model of historical information, based on a Bayesian neural network (BNN) and a …
[PDF][PDF] A Review of Vessel Time of Arrival Prediction on Waterway Networks: Current Trends, Open Issues, and Future Directions
With the vast majority of global trade volume and value reliant on maritime transport,
accurate prediction of vessel estimated time of arrival (ETA) is crucial for optimizing supply …
accurate prediction of vessel estimated time of arrival (ETA) is crucial for optimizing supply …
Probabilistic prediction of ship destinations based on traffic pattern awareness in maritime networks
As maritime traffic becomes increasingly heavy, issues such as traffic congestion and
inefficient transportation emerge as more prominent concerns. Ship destination prediction is …
inefficient transportation emerge as more prominent concerns. Ship destination prediction is …
Prediction of the Estimated Time of Arrival of container ships on short-sea ship**: A pragmatical analysis
Fighting against climate change and global warming is one of the biggest challenges faced
by the Maritime Industry nowadays to make the supply chain greener and environmentally …
by the Maritime Industry nowadays to make the supply chain greener and environmentally …
[HTML][HTML] A multi-task learning-based framework for global maritime trajectory and destination prediction with AIS data
Abstract Automatic Identification System (AIS) was initially developed for tracking ships and
avoiding collisions. As numerous small satellites were launched in recent years, millions of …
avoiding collisions. As numerous small satellites were launched in recent years, millions of …
A general-purpose distributed programming system using data-parallel streams
In this paper we present DtCraft, a distributed execution engine that enables a new powerful
programming model to streamline cluster computing. Applications are described in a set of …
programming model to streamline cluster computing. Applications are described in a set of …