Establishing a common data base of ice experiments and using machine learning to understand and predict ice behavior
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 experimenta
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.
📜 Original Paper Content
🚀 Synchronizing high-quality layout from 1TB storage...