Establishing a common data base of ice experiments and using machine learning to understand and predict ice behavior
classification
⚛️ physics.data-an
keywords
basebehaviorcommondatalearningmachineanalysisapplied
read the original abstract
Machine learning and statistical tools are applied to identify how parameters, such as temperature, influence peak stress and ice behavior. To enable the analysis, a common and small scale experimental data base is established.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.