Fearghal O'Donncha
Fearghal O'Donncha
IBM Research
Verified email at ie.ibm.com - Homepage
Cited by
Cited by
A machine learning framework to forecast wave conditions
SC James, Y Zhang, F O'Donncha
Coastal Engineering 137, 1-10, 2018
Fabrication of nanometer size gaps on an electrode
AT Johnson Jr, M Radosavljevic, J Lefebvre
US Patent 6,897,009, 2005
Method of controlling reverse data transmission in a mobile communication system
BS Bae, D Cho, YW Jung, JW Cho, TS Kwon, JS Jung, C Koo
US Patent App. 10/331,814, 2003
Characterizing observed circulation patterns within a bay using HF radar and numerical model simulations
F O’Donncha, M Hartnett, S Nash, L Ren, E Ragnoli
Journal of Marine Systems 142, 96-110, 2015
Physical and numerical investigation of the hydrodynamic implications of aquaculture farms
F O’Donncha, M Hartnett, S Nash
Aquacultural engineering 52, 14-26, 2013
Parallelisation study of a three-dimensional environmental flow model
F O'Donncha, E Ragnoli, F Suits
Computers & Geosciences 64, 96-103, 2014
An integrated framework that combines machine learning and numerical models to improve wave-condition forecasts
F O’Donncha, Y Zhang, B Chen, SC James
Journal of Marine Systems 186, 29-36, 2018
Modelling study of the effects of suspended aquaculture installations on tidal stream generation in Cobscook Bay
F O'Donncha, SC James, E Ragnoli
Renewable Energy 102, 65-76, 2017
Parameterizing suspended canopy effects in a three-dimensional hydrodynamic model
F O'Donncha, M Hartnett, DR Plew
Journal of Hydraulic Research 53 (6), 714-727, 2015
Ensemble model aggregation using a computationally lightweight machine-learning model to forecast ocean waves
F O’Donncha, Y Zhang, B Chen, SC James
Journal of Marine Systems 199 (1), 103206, 2019
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
P Haehnel, J Marecek, J Monteil, F O'Donncha
Journal of Computational Physics 408 (1), 109278, 2020
An optimal interpolation scheme for assimilation of HF radar current data into a numerical ocean model
E Ragnoli, F O'Donncha, S Zhuk, F Suits, M Hartnett
Oceans, 2012, 1-5, 2012
On the efficiency of executing hydro-environmental models on Cloud
F O’Donncha, E Ragnoli, S Venugopal, SC James, K Katrinis
Procedia Engineering 154, 199-206, 2016
Parallelisation of hydro-environmental model for simulating marine current devices
F O'Donncha, SC James, N O'Brien, E Ragnoli
OCEANS 2015-MTS/IEEE Washington, 1-7, 2015
Statistical and machine learning ensemble modelling to forecast sea surface temperature
S Wolff, F O'Donncha, B Chen
Journal of Marine Systems 208 (103347), 2020
Precision aquaculture
F O'Donncha, J Grant
IEEE Internet of Things Magazine 2 (4), 26-30, 2019
Numerical modelling study of the effects of suspended aquaculture farms on tidal stream energy generation
F O'Donncha, SC James, N O'Brien, E Ragnoli
OCEANS 2015-Genova, 1-7, 2015
Surface flow dynamics within an exposed wind-driven bay: Combined HF radar observations and model simulations
F O'Donncha, E Ragnoli, S Zhuk, F Suits, M Hartnett
2012 Oceans, 1-8, 2012
Physical and numerical modelling of impeded tidal flows: Effects of aquaculture structures on hydrodynamics and material transport
A thesis submitted in partial fulfillment of the requirements for the Doctor …, 2012
Surrogate modeling and risk-based analysis for solute transport simulations
E Arandia, F O’Donncha, S McKenna, S Tirupathi, E Ragnoli
Stochastic Environmental Research and Risk Assessment 33 (11), 1907-1921, 2019
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