14 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 14 cited
Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences
Md Mahbub Alam, Amilcar Soares, José F. Rodrigues-Jr +1
Accurate vessel trajectory prediction is crucial for navigational safety, route optimization, traffic management, search and rescue operations, and autonomous navigation. Tradition…
cs.LG2024
ImPORTance: Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency
Emanuele Carlini, Domenico Di Gangi, Vinicius Monteiro de Lira +3
Seaports play a crucial role in the global economy, and researchers have sought to understand their significance through various studies. In this paper, we aim to explore the commo…