Elizabeth J. Cross

According to our database, Elizabeth J. Cross authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Refinement and Validation of the Minimal Information Data-Modelling (MID) Method for Bridge Management.

Connor O'Higgins, David Hester, Patrick McGetrick, Wai Kei Ao, Elizabeth J. Cross

Sensors, June, 2024

On Gait Consistency Quantification Through ARX Residual Modeling and Kernel Two-Sample Testing.

A. Stihi, Timothy J. Rogers, Claudia Mazzà, Elizabeth J. Cross

IEEE Trans. Biomed. Eng., March, 2024

Active learning for regression in engineering populations: A risk-informed approach.

Daniel R. Clarkson, Lawrence A. Bull, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes

CoRR, 2024

2023

Minimal Information Data-Modelling (MID) and an Easily Implementable Low-Cost SHM System for Use on a Short-Span Bridge.

Connor O'Higgins, David Hester, Patrick McGetrick, Elizabeth J. Cross, Wai Kei Ao, James Brownjohn

Sensors, July, 2023

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

W. Lin, Keith Worden, Elizabeth J. Cross

CoRR, 2023

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting.

Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes

CoRR, 2023

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

Elizabeth J. Cross, Timothy J. Rogers, Daniel J. Pitchforth, Samuel J. Gibson, Matthew R. Jones

CoRR, 2023

Encoding Domain Expertise into Multilevel Models for Source Location.

Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew B. Duncan, Mark Girolami

CoRR, 2023

2022

A topological analysis of cointegrated data: a Z24 Bridge case study.

Tristan Gowdridge, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

CoRR, 2022

Physics-informed machine learning for Structural Health Monitoring.

Elizabeth J. Cross, Samuel J. Gibson, Matthew R. Jones, Daniel J. Pitchforth, Sikai Zhang, Timothy J. Rogers

CoRR, 2022

Constraining Gaussian processes for physics-informed acoustic emission mapping.

Matthew R. Jones, Timothy J. Rogers, Elizabeth J. Cross

CoRR, 2022

2021

Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm.

Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden

CoRR, 2021

Canonical-Correlation-Based Fast Feature Selection.

Sikai Zhang, Tingna Wang, Keith Worden, Elizabeth J. Cross

CoRR, 2021

Grey-box models for wave loading prediction.

Daniel J. Pitchforth, Timothy J. Rogers, Ulf T. Tygesen, Elizabeth J. Cross

CoRR, 2021

Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data.

Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

CoRR, 2021

Damage detection in operational wind turbine blades using a new approach based on machine learning.

Kartik Chandrasekhar, Nevena Stevanovic, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

CoRR, 2021

Structured Machine Learning Tools for Modelling Characteristics of Guided Waves.

Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers

CoRR, 2021

2020

A Bayesian methodology for localising acoustic emission sources in complex structures.

Matthew R. Jones, Timothy J. Rogers, Keith Worden, Elizabeth J. Cross

CoRR, 2020

On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression.

Rajdip Nayek, Ramón Fuentes, Keith Worden, Elizabeth J. Cross

CoRR, 2020

2017

Aspects of computational intelligence in structural dynamics: Structural health monitoring.

Nikolaos Dervilis, Elizabeth J. Cross, Ifigeneia Antoniadou, Charles R. Farrar, Keith Worden

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Some Recent Developments in SHM Based on Nonstationary Time Series Analysis.

Keith Worden, Tara Baldacchino, Jennifer Rowson, Elizabeth J. Cross

Proc. IEEE, 2016