6 citations · 7 across the 2 of their papers we have counts for
3 papers · 1 filter
DeepVIVONet: Using deep neural operators to optimize sensor locations with application to vortex-induced vibrations
Ruyin Wan, Ehsan Kharazmi, Michael S Triantafyllou +1
We introduce DeepVIVONet, a new framework for optimal dynamic reconstruction and forecasting of the vortex-induced vibrations (VIV) of a marine riser, using field data. We demonstr…
Automatic selection of the best neural architecture for time series forecasting
Qianying Cao, Shanqing Liu, Alan John Varghese +3
Time series forecasting plays a pivotal role in a wide range of applications, including weather prediction, healthcare, structural health monitoring, predictive maintenance, energy…
Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states
José del Águila Ferrandis, Michael Triantafyllou, Chryssostomos Chryssostomidis +1
Predicting motions of vessels in extreme sea states represents one of the most challenging problems in naval hydrodynamics. It involves computing complex nonlinear wave-body intera…