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MobilityDL: a review of deep learning from trajectory data
Trajectory data combines the complexities of time series, spatial data, and (sometimes
irrational) movement behavior. As data availability and computing power have increased, so …
irrational) movement behavior. As data availability and computing power have increased, so …
[HTML][HTML] Artificial Intelligence in Maritime Transportation: A Comprehensive Review of Safety and Risk Management Applications
Maritime transportation is crucial for global trade but faces significant risks and operational
challenges. Ensuring safety is essential for protecting lives, the environment, and economic …
challenges. Ensuring safety is essential for protecting lives, the environment, and economic …
G-Trans: A hierarchical approach to vessel trajectory prediction with GRU-based transformer
H Xue, S Wang, M ** volumes, ship navigation and path planning have attracted
increased attention. To design navigation routes and avoid ship collisions, accurate ship …
increased attention. To design navigation routes and avoid ship collisions, accurate ship …
Statistical hypothesis testing based on machine learning: Large deviations analysis
We study the performance of Machine Learning (ML) classification techniques. Leveraging
the theory of large deviations, we provide the mathematical conditions for a ML classifier to …
the theory of large deviations, we provide the mathematical conditions for a ML classifier to …