79 citations · 197 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*
Gabriel Spadon, Jose F. Rodrigues-Jr
Graphs have often been used to answer questions about the interaction between real-world entities by taking advantage of their capacity to represent complex topologies. Complex net…
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
Gabriel Spadon, Shenda Hong, Bruno Brandoli +3
Time-series forecasting is one of the most active research topics in artificial intelligence. Applications in real-world time series should consider two factors for achieving relia…