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Localized Generative Design of Ship Hulls with Diffusion Models and High-Fidelity Assessment
Practical ship design requires localized refinement and performance evaluation. This paper presents a reward-directed diffusion framework for localized hull optimization. Parametric masking during dataset generation restricts geometric changes to selected variables, including the bulbous bow and for
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