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ENHAnCE

European training Network in intelligent prognostics and Health mAnagement in Composite structurEs
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Publications

ENHAnCE is a Marie Curie Innovative Training Network (ITN) for early stage researchers (ESR) funded by the European Commission under the H2020 Programme, the EU framework programme for research and innovation.

Articles

June 7, 2022

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Particle filter-based hybrid damage prognosis considering measurement bias. Reduction of

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Code

May 11, 2022

code D5.2  : Code related to the Integration of communications and SHM data (demonstrator, Deliverable 5.2)  code D3.3 :  Computational platform (Open Access) for computing

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Contact: COORDINATOR@H2020-ENHANCEITN.EU & MANAGER@H2020-ENHANCEITN.EU
This project has received funding from the European Union’s. Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 859957.
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