3 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
A Neural ODE Approach to Aircraft Flight Dynamics Modelling
Gabriel Jarry, Ramon Dalmau, Xavier Olive +1
Accurate aircraft trajectory prediction is critical for air traffic management, airline operations, and environmental assessment. This paper introduces NODE-FDM, a Neural Ordinary…
Aircraft Fuel Flow Modelling with Ageing Effects: From Parametric Corrections to Neural Networks
Gabriel Jarry, Ramon Dalmau, Philippe Very +1
Accurate modelling of aircraft fuel-flow is crucial for both operational planning and environmental impact assessment, yet standard parametric models often neglect performance dete…
On the Detection of Aircraft Single Engine Taxi using Deep Learning Models
Gabriel Jarry, Philippe Very, Ramon Dalmau +2
The aviation industry is vital for global transportation but faces increasing pressure to reduce its environmental footprint, particularly CO2 emissions from ground operations such…
On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models
Gabriel Jarry, Ramon Dalmau, Philippe Very +1
Accurately estimating aircraft fuel flow is essential for evaluating new procedures, designing next-generation aircraft, and monitoring the environmental impact of current aviation…