3 papers
cs.DB2024
Maritime Tracking Data Analysis and Integration with AISdb
Gabriel Spadon, Jay Kumar, Jinkun Chen +7
Efficiently handling Automatic Identification System (AIS) data is vital for enhancing maritime safety and navigation, yet is hindered by the system's high volume and error-prone d…
cs.LG2024
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models
Ruixin Song, Gabriel Spadon, Ronald Pelot +2
Aquatic non-indigenous species (NIS) pose significant threats to biodiversity, disrupting ecosystems and inflicting substantial economic damages across agriculture, forestry, and f…
cs.LG2024
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting
Gabriel Spadon, Jay Kumar, Derek Eden +6
This paper addresses the challenge of boosting the precision of multi-path long-term vessel trajectory forecasting on engineered sequences of Automatic Identification System (AIS)…