Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting-Reference-Cited by-同舟云学术

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Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting

Published:2024-11 Issue: Volume:312 Page:119138
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Spadon Gabriel^ORCID,Kumar Jay,Eden Derek^ORCID,van Berkel Josh,Foster Tom,Soares Amilcar^ORCID,Fablet Ronan,Matwin Stan,Pelot Ronald

Funder

CFREF

NSERC

Mitacs

Ocean Frontier Institute

Canadian Space Agency

FAPESP

Publisher

Elsevier BV

Reference52 articles.

1. Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns;Alam;Ocean Eng.,2024

2. Commuting network effect on urban wealth scaling;Alves;Sci. Rep.,2021

3. An improved ship trajectory prediction based on AIS data using MHA-BiGRU;Bao;J. Mar. Sci. Eng.,2022

4. Detection of invalid AIS messages using machine learning techniques;Campbell;Procedia Comput. Sci.,2022

5. Uncertainty-aware recurrent encoder-decoder networks for vessel trajectory prediction;Capobianco,2021

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