Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks

Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks

Maritime vessels provide a wealth of data concerning location, trajectories, and speed. However, while these data are meticulously monitored and logged to maintain course, they can also provide a wealth of meta information. This work explored the potential of data-driven techniques and applied artif...

Full description

Bibliographic Details
Main Authors: Aleksandar Petrovic, Robertas Damaševičius, Luka Jovanovic, Ana Toskovic, Vladimir Simic, Nebojsa Bacanin, Miodrag Zivkovic, Petar Spalević
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
particle swarm optimization
metaheuristic optimization
marine vessel trajectory
time-series
extreme gradient boosting
long-short term memory
Online Access:https://www.mdpi.com/2076-3417/13/16/9181

Internet

https://www.mdpi.com/2076-3417/13/16/9181

Similar Items