Registos relacionados: MACHINE LEARNING DRIVEN SURROGATE MODELING FOR HYDROELASTIC PERFORMANCE PREDICTION OF HORIZONTAL AXIS TIDAL CURRENT TURBINE /
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Assunto: Naval Architecture and Marine Engineering
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Assunto: This Thesis Paper of NAME in BSc Program.
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- DETERMINATION OF THE OPTIMUM MACHINE LEARNING MODEL FOR ACCOUSTIC EMISSION-BASED DAMAGE MODE CLASSIFICATION IN CERAMIC MATRIX COMPOSITES /
Autor: Anas, Sarder Ali
Autor: Supervised by Md Mezbah Uddin
- MACHINE LEARNING DRIVEN SURROGATE MODELING FOR HYDROELASTIC PERFORMANCE PREDICTION OF HORIZONTAL AXIS TIDAL CURRENT TURBINE /
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