Nonlinear model reduction for operator learning

1 code implementation • 27 Mar 2024 • Hamidreza Eivazi, Stefan Wittek, Andreas Rausch

Operator learning provides methods to approximate mappings between infinite-dimensional function spaces.

Operator learning

Assessment of the suitability of degradation models for the planning of CCTV inspections of sewer pipes

1 code implementation • 12 Jul 2023 • Fidae El Morer, Stefan Wittek, Andreas Rausch

This work proposes a methodology to assess their suitability to plan inspections considering three dimensions: accuracy metrics, ability to produce long-term degradation curves and explainability.