Publikasjoner
- Enhancing Situational Awareness for Remote Control of Ship Cranes
- Enhancing Situational Awareness for Remote Control of Ship Cranes
- Autoencoder-Based Anomaly Detection for Safe Autonomous Ship Operations
- Analyzing the Feasibility of an Unmanned Cargo Ship for Different Operational Phases
- Automated Mooring Systems
- Feasibility Study for an Unmanned Deep Sea Bulk Ship and Short Sea Container Ship
- The Importance of Documenting Autonomous Tests Les publikasjonen
- Automatic Mooring: Technical Gap Analysis
- Ship Route Optimization Using Hybrid Physics-Guided Machine Learning Les publikasjonen
- Energy Efficient and Safe Ship Routing using Machine Learning Techniques on Operational and Weather Data
Annen formidling
- Maritim domenekunnskap kombinert med KI
- Enhancing Situational Awareness for Remote Control of Ship Cranes
- Supporting Remote Operation Centres for Unmanned Ships Through Machine Learning- Based Route Prediction
- Autoencoder-Based Anomaly Detection for Safe Autonomous Ship Operations
- The rise of automated mooring systems
- SFI Autoship webinar on feasibility study of an unmanned cargo ship
- Analyzing the Feasibility of an Unmanned Cargo Ship for Different Operational Phases
- Automated Mooring Systems
- Ship Route Optimization Using Hybrid Physics-Guided Machine Learning
- Evaluation of Ship Energy Models and Route Optimization
