Robin S. Mills

According to our database, Robin S. Mills authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

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