Flere publikasjoner
- Evaluation of Ship Energy Models and Route Optimization
- 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
- Standardized navigational data for situational awareness during simultaneous maritime operations
- A Public API Supporting Autonomous Navigation
- Shipping 4.0 - Smart bruk av operasjonelle data Les publikasjonen
- SMS from Oslo VAV - Secure and Monitored Service from Oslo VAV : final report
- Condition monitoring for early failure detection. Frognerparken pumping station as case study Les publikasjonen
- SMS from OSLO VAV project : Second periodic progress report : Project objectives, work progress and achievements, project management
- SMS from OSLO VAV - Secure and Monitored Service from Oslo VAV: First periodic progress report Project objectives, work progress and achievements, project management Les publikasjonen
Annen formidling
- Maritim domenekunnskap kombinert med KI
- Ship Route Optimization Using Hybrid Physics-Guided Machine Learning
- Evaluation of Ship Energy Models and Route Optimization
- Smart styring av ferger kan gi mindre energibruk
- Standardized navigational data for situational awareness during simultaneous maritime operations
- Bruk av kunstig intelligens i et maritimt domene
- Hull-to-Hull Positioning for Maritime Autonomous Ship (MASS)
- Selvstyrt til sjøs
- Beslutningsstøttesystemer for løfteoperasjoner
- Vil gjøre offshore løfteoperasjoner mer effektive
