Litcius/Paper detail

Predicting compressive strength and behavior of ice and analyzing feature importance with explainable machine learning models

Leon Kellner, M. Stender, Franz von Bock und Polach, Sören Ehlers

2022Ocean Engineering26 citationsDOI

Topics & Concepts

Machine learningEmpirical modellingComputer scienceArtificial intelligenceEmpirical researchCompressive strengthSimulationMathematicsStatisticsMaterials scienceComposite materialCryospheric studies and observationsArctic and Antarctic ice dynamicsClimate change and permafrost
Predicting compressive strength and behavior of ice and analyzing feature importance with explainable machine learning models | Litcius