Ensemble model aggregation using a computationally lightweight machine-learning model to forecast ocean wavesFearghal O'DonnchaYushan Zhanget al.2019Journal of Marine Systems
Drag coefficient parameter estimation for aquaculture systemsScott C. JamesFearghal O'Donncha2019Environmental Fluid Mechanics
An integrated framework that combines machine learning and numerical models to improve wave-condition forecastsFearghal O'DonnchaYushan Zhanget al.2018Journal of Marine Systems
A machine learning framework to forecast wave conditionsScott C. JamesYushan Zhanget al.2018Coastal Engineering
An ensemble-based approach that combines machine learning and numerical models to improve forecasts of wave conditionsYushan ZhangScott C. Jameset al.2017OCEANS 2017
Deployment and parametrisation of couplec hydrodynamic and wave modelsFearghal O'DonnchaScott C. James2017OCEANS 2017 Aberdeen
Modelling study of the effects of suspended aquaculture installations on tidal stream generation in Cobscook BayFearghal O'DonnchaScott C. Jameset al.2017Renewable Energy
Deploying and optimizing performance of a 3D hydrodynamic model on cloudFearghal O'DonnchaSrikumar Venugopalet al.2016OCEANS 2016
Calibration of a 3D hydrodynamic aquaculture modelScott C. JamesFearghal O'Donnchaet al.2016OCEANS 2016
On the Efficiency of Executing Hydro-environmental Models on CloudFearghal O'DonnchaEmanuele Ragnoliet al.2016HIC 2016