Elizabeth J. Cross

Orcid: 0000-0001-5204-1910

According to our database1, Elizabeth J. Cross authored at least 19 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
On Gait Consistency Quantification Through ARX Residual Modeling and Kernel Two-Sample Testing.
IEEE Trans. Biomed. Eng., March, 2024

2023
Minimal Information Data-Modelling (MID) and an Easily Implementable Low-Cost SHM System for Use on a Short-Span Bridge.
Sensors, July, 2023

Population-based wind farm monitoring based on a spatial autoregressive approach.
CoRR, 2023

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting.
CoRR, 2023

A spectrum of physics-informed Gaussian processes for regression in engineering.
CoRR, 2023

Encoding Domain Expertise into Multilevel Models for Source Location.
CoRR, 2023

2022
A topological analysis of cointegrated data: a Z24 Bridge case study.
CoRR, 2022

Physics-informed machine learning for Structural Health Monitoring.
CoRR, 2022

Constraining Gaussian processes for physics-informed acoustic emission mapping.
CoRR, 2022

2021
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm.
CoRR, 2021

Canonical-Correlation-Based Fast Feature Selection.
CoRR, 2021

Grey-box models for wave loading prediction.
CoRR, 2021

Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data.
CoRR, 2021

Damage detection in operational wind turbine blades using a new approach based on machine learning.
CoRR, 2021

Structured Machine Learning Tools for Modelling Characteristics of Guided Waves.
CoRR, 2021

2020
A Bayesian methodology for localising acoustic emission sources in complex structures.
CoRR, 2020

On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression.
CoRR, 2020

2017
Aspects of computational intelligence in structural dynamics: Structural health monitoring.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Some Recent Developments in SHM Based on Nonstationary Time Series Analysis.
Proc. IEEE, 2016


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