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Field-Level Uncertainty Quantification for AI-Based Ship Hull Surface Pressure Prediction

This study investigates uncertainty quantification for field-level ship hull surface pressure predictions using a U-Net-based data-driven model. A speed-conditioned U-Net is trained on a large CFD dataset covering multiple ship types and velocity conditions to predict pressure distributions on hull...

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Principais autores: Jeongbeom Seo, Inwon Lee
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-03-01
Serier:Journal of Marine Science and Engineering
Fag:
Artificial Intelligence (AI)
machine learning
ship hydrodynamics
surface pressure prediction
speed-conditioned U-Net
deep-ensemble
Online adgang:https://www.mdpi.com/2077-1312/14/5/504
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