On the hierarchical Bayesian modelling of frequency response functions

On the hierarchical Bayesian modelling of frequency response functions

12 July 2023

K. Worden

Papers citing "On the hierarchical Bayesian modelling of frequency response functions"

5 / 5 papers shown

Title
Active learning for regression in engineering populations: A risk-informed approach Daniel R. Clarkson L. Bull C. Wickramarachchi Elizabeth J. Cross T. Rogers Keith Worden Nikolaos Dervilis A. Hughes 20 0 0 06 Sep 2024
Multitask learning for improved scour detection: A dynamic wave tank study Simon M. Brealy A. Hughes T. Dardeno L. Bull Robin S. Mills Nikolaos Dervilis Keith Worden 26 1 0 29 Aug 2024
Quantifying the value of positive transfer: An experimental case study A. Hughes Giulia Delo J. Poole N. Dervilis Keith Worden 28 1 0 19 Jul 2024
Quantifying the value of information transfer in population-based SHM A. Hughes J. Poole N. Dervilis P. Gardner Keith Worden 24 3 0 06 Nov 2023
On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques O. Sedehi Antonina M. Kosikova C. Papadimitriou L. Katafygiotis 16 6 0 01 Mar 2023