7 citations · 14 across the 14 of their papers we have counts for
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eess.SY2023
Context-Aware Generative Models for Prediction of Aircraft Ground Tracks
Nick Pepper, George De Ath, Marc Thomas +2
Trajectory prediction (TP) plays an important role in supporting the decision-making of Air Traffic Controllers (ATCOs). Traditional TP methods are deterministic and physics-based,…
eess.SY2023★ 1 cited
Learning Generative Models for Climbing Aircraft from Radar Data
Nick Pepper, Marc Thomas
Accurate trajectory prediction (TP) for climbing aircraft is hampered by the presence of epistemic uncertainties concerning aircraft operation, which can lead to significant misspe…
cs.CE2023
Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling
Joel Ho, Nick Pepper, Tim Dodwell
A probabilistic machine learning model is introduced to augment the turbulence model in order to improve the modelling of separated flows and the generalisability of lear…