28 citations · 71 across the 10 of their papers we have counts for
4 papers · 1 filter
Assessing the Performance of an Adaptive Multi-Fidelity Gaussian Process with Noisy Training Data: A Statistical Analysis
Simone Ficini, Umberto Iemma, Riccardo Pellegrini +2
Despite the increased computational resources, the simulation-based design optimization (SBDO) procedure can be very expensive from a computational viewpoint, especially if high-fi…
Comparing Multi-Index Stochastic Collocation and Multi-Fidelity Stochastic Radial Basis Functions for Forward Uncertainty Quantification of Ship Resistance
Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini +3
This paper presents a comparison of two multi-fidelity methods for the forward uncertainty quantification of a naval engineering problem. Specifically, we consider the problem of q…
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State
Danny D'Agostino, Andrea Serani, Frederick Stern +1
The prediction capability of recurrent-type neural networks is investigated for real-time short-term prediction (nowcasting) of ship motions in high sea state. Specifically, the pe…
Data-driven Modelling of Ship Maneuvers in Waves via Dynamic Mode Decomposition
Matteo Diez, Andea Serani, Emilio F. Campana +1
A data-driven and equation-free approach is proposed and discussed to model ships maneuvers in waves, based on the dynamic mode decomposition (DMD). DMD is a dimensionality-reducti…