Fearghal O'Donncha

23 papers A* 2B 2Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data. CoRR Fearghal O'Donncha, Nianjun Zhou, Natalia Martinez, James T. Rayfield, Fenno F. Terry Heath III, Abigail Langbridge, Roman Vaculín
2025	A*	`conf`	Agentic AI for Digital Twin. AAAI Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari, Fearghal O'Donncha
2025	J	`jnl`	AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance. CoRR Dhaval Patel, Shuxin Lin, James T. Rayfield, Nianjun Zhou, Roman Vaculín, Natalia Martinez Gil, Fearghal O'Donncha, Jayant Kalagnanam
2025	J	`jnl`	Enhancing hydrological modeling of ungauged watersheds through machine learning and physical similarity-based regionalization of calibration parameters. Environ. Model. Softw. Arun Bawa, Katie Mendoza, Raghavan Srinivasan, Fearghal O'Donncha, Deron Smith, Kurt Wolfe, Rajbir Parmar, John M. Johnston, Joel Corona
2024	B	`conf`	Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data. IEEE Big Data Abigail Langbridge, Fearghal O'Donncha, James T. Rayfield, Bradley Eck
2024	J	`jnl`	Towards Automated Solution Recipe Generation for Industrial Asset Management with LLM. CoRR Nianjun Zhou, Dhaval Patel, Shuxin Lin, Fearghal O'Donncha
2023	J	`jnl`	A SWAT-based Reinforcement Learning Framework for Crop Management. CoRR Malvern Madondo, Muneeza Azmat, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Arun Bawa, Raghavan Srinivasan, Fearghal O'Donncha
2023	J	`jnl`	Attention-based Domain Adaptation Forecasting of Streamflow in Data Sparse Regions. CoRR Roland Oruche, Fearghal O'Donncha
2023	J	`jnl`	Causal Temporal Graph Convolutional Neural Networks (CTGCN). CoRR Abigail Langbridge, Fearghal O'Donncha, Amadou Ba, Fabio Lorenzi, Christopher Lohse, Joern Ploennigs
2023	B	`conf`	Efficient Extraction of Insights at the Edges of Distributed Systems. IEEE Big Data Amadou Ba, Fearghal O'Donncha, Joern Ploennigs, Muneeza Azmat
2023	A*	`conf`	Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. IJCAI Muneeza Azmat, Malvern Madondo, Arun Bawa, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha
2022	J	`jnl`	A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales. Ecol. Informatics Fearghal O'Donncha, Yihao Hu, Paulito Palmes, Meredith Burke, Ramón Filgueira, Jon Grant
2022	J	`jnl`	Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. CoRR Muneeza Azmat, Malvern Madondo, Kelsey Dipietro, Raya Horesh, Arun Bawa, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha
2021	J	`jnl`	A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales. CoRR Yihao Hu, Fearghal O'Donncha, Paulito Palmes, Meredith Burke, Ramón Filgueira, Jon Grant
2021	—	`conf`	Deployment and Management of Time Series Forecasts in Ocean Industry. IEEE BigData Fearghal O'Donncha, Albert Akhriev, Bradley Eck, Meredith Burke, Ramón Filgueira, Jon Grant
2021	J	`jnl`	Transfer learning to improve streamflow forecasts in data sparse regions. CoRR Roland Oruche, Lisa Egede, Tracy Baker, Fearghal O'Donncha
2020	J	`jnl`	AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. Comput. Phys. Commun. Fearghal O'Donncha, Roman Iakymchuk, Albert Akhriev, Philipp Gschwandtner, Peter Thoman, Thomas Heller, Xavier Aguilar, Kiril Dichev, Charles Gillan, Stefano Markidis, Erwin Laure, Emanuele Ragnoli, Vassilis Vassiliadis, Michael A. Johnston, Herbert Jordan, Thomas Fahringer
2020	J	`jnl`	Using deep learning to extend the range of air pollution monitoring and forecasting. J. Comput. Phys. Philipp Haehnel, Jakub Marecek, Julien Monteil, Fearghal O'Donncha
2019	J	`jnl`	Localised sequential state estimation for advection dominated flows with non-Gaussian uncertainty description. J. Comput. Phys. Emanuele Ragnoli, Mykhaylo Zayats, Fearghal O'Donncha, Sergiy Zhuk
2019	J	`jnl`	Precision Aquaculture. IEEE Internet Things Mag. Fearghal O'Donncha, Jon Grant
2019	J	`jnl`	Statistical and machine learning ensemble modelling to forecast sea surface temperature. CoRR Stefan Wolff, Fearghal O'Donncha, Bei Chen
2018	J	`jnl`	Scaling up Deep Learning for PDE-based Models. CoRR Philipp Haehnel, Jakub Marecek, Julien Monteil, Fearghal O'Donncha
2014	J	`jnl`	Parallelisation study of a three-dimensional environmental flow model. Comput. Geosci. Fearghal O'Donncha, Emanuele Ragnoli, Frank Suits