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A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
The rapidly evolving field of engineering design of functional surfaces necessitates sophisticated tools to manage the inherent complexity of high-dimensional design spaces.
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State
The prediction capability of recurrent-type neural networks is investigated for real-time short-term prediction (nowcasting) of ship motions in high sea state.
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