13 citations · 15 across the 10 of their papers we have counts for
5 papers · 1 filter
A Unified Causal-Origin Taxonomy of Distributional Shifts in Reinforcement Learning
Ardianto Wibowo, Paulo E Santos, Amer Baghdadi +3
Reinforcement learning (RL) systems often degrade when operating conditions differ from those previously encountered, reflecting distributional shifts in the underlying data-genera…
3D Underwater Path Planning via Generative Flow Field Surrogates
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Autonomous underwater vehicle (AUV) launch and recovery (LAR) into the hull of an advancing host platform requires traversal of a complex, three-dimensional propeller wake whose hy…
WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Machine learning (ML) offers transformative potential for computational fluid dynamics (CFD), promising to accelerate simulations, improve turbulence modelling, and enable real-tim…
Mitigation of multi-path propagation artefacts in acoustic targets with adaptive cepstral filtering
Lucas C. F. Domingos, Russell S. A. Brinkworth, Paulo E. Santos +1
Passive acoustic sensing is a cost-effective solution for monitoring moving targets such as vessels and aircraft, but its performance is hindered by complex propagation effects lik…
Improving Underwater Acoustic Classification Through Learnable Gabor Filter Convolution and Attention Mechanisms
Lucas Cesar Ferreira Domingos, Russell Brinkworth, Paulo Eduardo Santos +1
Remotely detecting and classifying underwater acoustic targets is critical for environmental monitoring and defence. However, the complexity of ship-radiated and environmental nois…