2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
A generalised novel loss function for computational fluid dynamics
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Computational fluid dynamics (CFD) simulations are crucial in automotive, aerospace, maritime and medical applications, but are limited by the complexity, cost and computational re…
Hybrid Navigation Acceptability and Safety
Benoit Clement, Marie Dubromel, Paulo E. Santos +3
Autonomous vessels have emerged as a prominent and accepted solution, particularly in the naval defence sector. However, achieving full autonomy for marine vessels demands the deve…
Sim-to-Real Transfer of Adaptive Control Parameters for AUV Stabilization under Current Disturbance
Thomas Chaffre, Jonathan Wheare, Andrew Lammas +4
Learning-based adaptive control methods hold the premise of enabling autonomous agents to reduce the effect of process variations with minimal human intervention. However, its appl…