6 citations · 6 across the 3 of their papers we have counts for
3 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…