Litcius/Paper detail

Integrating domain knowledge with deep learning models: An interpretable AI system for automatic work progress identification of NATM tunnels

Renjie Wu, Yuji Fujita, Kenichi Soga

2020Tunnelling and Underground Space Technology38 citationsDOI

Topics & Concepts

New Austrian Tunnelling methodTimelineEngineeringArtificial intelligenceTask (project management)Work (physics)Machine learningComputer scienceSystems engineeringExcavationMathematicsGeotechnical engineeringStatisticsMechanical engineeringInfrastructure Maintenance and MonitoringTunneling and Rock Mechanics3D Surveying and Cultural Heritage
Integrating domain knowledge with deep learning models: An interpretable AI system for automatic work progress identification of NATM tunnels | Litcius