14 citations · 16 across the 4 of their papers we have counts for
5 papers
From Documents to Database: Failure Modes for Industrial Assets
Duygu Kabakci-Zorlu, Fabio Lorenzi, John Sheehan +2
We propose an interactive system using foundation models and user-provided technical documents to generate Failure Mode and Effects Analyses (FMEA) for industrial equipment. Our sy…
FMEA Builder: Expert Guided Text Generation for Equipment Maintenance
Karol Lynch, Fabio Lorenzi, John Sheehan +2
Foundation models show great promise for generative tasks in many domains. Here we discuss the use of foundation models to generate structured documents related to critical assets.…
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…
Scaling Knowledge Graphs for Automating AI of Digital Twins
Joern Ploennigs, Konstantinos Semertzidis, Fabio Lorenzi +1
Digital Twins are digital representations of systems in the Internet of Things (IoT) that are often based on AI models that are trained on data from those systems. Semantic models…
Optimal Seat Allocation Under Social Distancing Constraints
Michael Barry, Claudio Gambella, Fabio Lorenzi +2
The Covid-19 pandemic introduces new challenges and constraints for return to work business planning. We describe a space allocation problem that incorporates social distancing con…