Litcius/Paper detail

Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem

Anass Akrim, Christian Gogu, Rob Vingerhoeds, Michel Salaün

2023Engineering Applications of Artificial Intelligence39 citationsDOIOpen Access PDF

Topics & Concepts

PrognosticsComputer scienceArtificial intelligenceMachine learningSupervised learningLabeled dataUnsupervised learningScarcityDeep learningData miningArtificial neural networkEconomicsMicroeconomicsNon-Destructive Testing TechniquesInfrastructure Maintenance and MonitoringStructural Health Monitoring Techniques
Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem | Litcius