Marcus Haywood-Alexander

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

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Publications

Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves. Sensors 23 (1) (2023)
Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni N. Chatzi
Discussing the Spectra of Physics-Enhanced Machine Learning via a Survey on Structural Mechanics Applications. CoRR (2023)
Marcus Haywood-Alexander, Robin S. Mills, Max D. Champneys, Matthew R. Jones, Matthew S. Bonney, David J. Wagg, Timothy J. Rogers
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods. CoRR (2023)
S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden, Nikolaos Dervilis
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets. CoRR (2023)
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves. CoRR (2021)