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.
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
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
Download here our public deliverables and demonstrators from ENHAnCE: D-8.9.-End of Year 3 Summary Report & ENHAnCE achievements-ENHAnCE D-8.11-Potential inputs for policy feedback