6 citations · 7 across the 4 of their papers we have counts for
4 papers
Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data
Abigail Langbridge, Fearghal O'Donncha, James T Rayfield +1
Effective anomaly detection frameworks are a central pillar of the Industry 4.0 paradigm. In this paper, we introduce an Optimal Transport (OT)-based framework for anomaly detectio…
Machine Learning in Fish Farming
Fearghal O'Donncha, Nikos Papandroulakis, Jennie Korus +10
This chapter explores how machine learning (ML) is transforming aquaculture, with a particular focus on enhancing decision-making processes and improving operational efficiency. Th…
Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data
Fearghal O'Donncha, Nianjun Zhou, Natalia Martinez +4
Industrial maintenance platforms contain rich but fragmented evidence, including free-text work orders, heterogeneous operational sensors or indicators, and structured failure know…
Causal Temporal Graph Convolutional Neural Networks (CTGCN)
Abigail Langbridge, Fearghal O'Donncha, Amadou Ba +3
Many large-scale applications can be elegantly represented using graph structures. Their scalability, however, is often limited by the domain knowledge required to apply them. To a…