Data-driven prediction of added resistance on ships in waves

Engineering

1. Added Resistance 100%
2. Machine Learning Method 42%
3. Quality Data 28%
4. Energy Conservation 28%
5. Sea State 28%
6. Spectral Domain 14%
7. Engine Power 14%
8. Ship Operation 14%
9. Shaft Power 14%
10. Sensor Data 14%
11. Final Part 14%
12. Performance Data 14%
13. Hybrid Approach 14%
14. Actual Condition 14%
15. Regular Wave 14%
16. Quadratic Transfer Function 14%
17. Energy Efficiency 14%
18. Reference Data 14%
19. Wave Energy 14%
20. Data Preprocessing 14%
21. Density Spectrum 14%
22. Biofouling 14%
23. Numerical Methods 14%
24. Transfer Function 14%
25. Physical Model 14%
26. Energy Density 14%
27. Monitoring Data 14%