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researcher

Elizabeth J. Cross

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4
ORCID 0000-0001-5204-1910
same name
  • Elizabeth J. Cross — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedPhysics-informed machine learning for Structural Health Monitoring

61 citations · 62 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023

Population-based wind farm monitoring based on a spatial autoregressive approach

W. Lin, K. Worden, E. J. Cross

An important challenge faced by wind farm operators is to reduce operation and maintenance cost. Structural health monitoring provides a means of cost reduction through minimising…

cs.LG2023

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting

Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno +6

At present, most surface-quality prediction methods can only perform single-task prediction which results in under-utilised datasets, repetitive work and increased experimental cos…

cs.LG2023★ 1 cited

A spectrum of physics-informed Gaussian processes for regression in engineering

Elizabeth J Cross, Timothy J Rogers, Daniel J Pitchforth +2

Despite the growing availability of sensing and data in general, we remain unable to fully characterise many in-service engineering systems and structures from a purely data-driven…

cs.LG2022★ 61 cited

Physics-informed machine learning for Structural Health Monitoring

Elizabeth J Cross, Samuel J Gibson, Matthew R Jones +3

The use of machine learning in Structural Health Monitoring is becoming more common, as many of the inherent tasks (such as regression and classification) in developing condition-b…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.