MACHINE LEARNING DRIVEN SURROGATE MODELING FOR HYDROELASTIC PERFORMANCE PREDICTION OF HORIZONTAL AXIS TIDAL CURRENT TURBINE /
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| Sprog: | engelsk |
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NAME DEPT. MIST,
c2026.
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Lignende værker: MACHINE LEARNING DRIVEN SURROGATE MODELING FOR HYDROELASTIC PERFORMANCE PREDICTION OF HORIZONTAL AXIS TIDAL CURRENT TURBINE /
- CFD ANALYSIS ON HORIZONTAL AXIS TIDAL CURRENT TURBINE (HATCT) /
- NUMERICAL STUDY OF HORIZONTAL AXIS TIDAL CURRENT TURBINE (HATCT) BLADE BY FLUID STRUCTURE INTERACTION (FSI) ANALYSIS /
- COMPARATIVE STUDY OF HEAVE MOTION REDUCTION IN SPAR TYPE OFFSHORE WIND TURBINE BY HYDRODYNAMIC ANALYSIS /
- PREDICTION OF PARAMETRIC ROLLING BY DIRECT ASSESSMENT METHOD WITH VALIDATION /
- DETERMINATION OF THE OPTIMUM MACHINE LEARNING MODEL FOR ACCOUSTIC EMISSION-BASED DAMAGE MODE CLASSIFICATION IN CERAMIC MATRIX COMPOSITES /
- EVALUATION AND INTRODUCTION OF A HYBRID DIESEL-ELECTRIC PROPULSION SYSTEM FOR INLAND PASSENGER VESSELS OF BANGLADESH: ENVIRONMENTAL AND OPERATIONAL BENEFITS/