Robin S. Mills

According to our database, Robin S. Mills authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Physics-informed transfer learning for SHM via feature selection.

Jack Poole, Paul Gardner, Aidan J. Hughes, Nikolaos Dervilis, Robin S. Mills, Tina A. Dardeno, Keith Worden

CoRR, July, 2025

2024

Multitask learning for improved scour detection: A dynamic wave tank study.

Simon M. Brealy, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden

CoRR, 2024

Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring.

James Wilson, Max D. Champneys, Matt Tipuric, Robin S. Mills, David J. Wagg, Timothy J. Rogers

CoRR, 2024

2023

A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves.

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

Sensors, 2023

Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods.

Marcus Haywood-Alexander, Robin S. Mills, Max D. Champneys, Matthew R. Jones, Matthew S. Bonney, David J. Wagg, Timothy J. Rogers

CoRR, 2023

On the hierarchical Bayesian modelling of frequency response functions.

Tina A. Dardeno, Robin S. Mills, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull

CoRR, 2023

Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets.

S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden, Nikolaos Dervilis

CoRR, 2023

2022

On the application of population-based structural health monitoring in aerospace engineering.

Daniel S. Brennan, Julian Gosliga, Paul Gardner, Robin S. Mills, Keith Worden

Frontiers Robotics AI, 2022

Modelling variability in vibration-based PBSHM via a generalised population form.

Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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