📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

On a meta-learning population-based approach to damage prognosis (2024)

First Author: Tsialiamanis G

Attributed to: Revolutionising Operational Safety and Economy for High-value Infrastructure using Population-based SHM (ROSEHIPS) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.ymssp.2024.111119

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85182887479

Type: Journal Article/Review

Parent Publication: Mechanical Systems and Signal Processing