AI Tools for Maritime Training Applications - Stories of Success and Failure
Smart Energy Efficiency - Optimization for Ship Design, Retrofit and Operation
Using Machine Learning for Rapid Propeller Design Tools based on Numerical Series
Hydrodynamic Optimization of an E-Powered Catamaran in Early Design
Applying ANNs to Derive Empirical Design Formulas for Harbor Tugs
Savings from Route Optimization: Myth or Reality
Robust Design Optimization for More Efficient Ship Propellers
The Decarbonizing Quest for Future Bulk Carriers
Future Ships and Shipping - Green & Smart
Hic Rhodus, Hic Salta: ChatGPT and other A.I. Tools for Maritime Applications
Hey Porter, Hey Porter: Strategic Analysis for Naval Architectural Training in the 21st Century
Where Wind Power Makes Business Sense for Bulk Carriers
A Snapshot of Evolving Innovative Antifouling Options
Simulation-based Digital Twins for Ship Performance Monitoring
Re-Creating 3D Ship Geometries as Maps for Inspection and Reporting
Fairy Tales Revisited - Energy Efficiency Options
Review of Robotic In-Water Hull Cleaning
Third-Power Law – Friend or Foe?
Capabilities and Limits of Machine Learning