130 citations · 283 across the 9 of their papers we have counts for
3 papers · 1 filter
Transfer Learning for Input Estimation of Vehicle Systems
Liam M. Cronin, Soheil Sadeghi Eshkevari, Debarshi Sen +1
This study proposes a learning-based method with domain adaptability for input estimation of vehicle suspension systems. In a crowdsensing setting for bridge health monitoring, veh…
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
Soheil Sadeghi Eshkevari, Martin Takáč, Shamim N. Pakzad +1
Data-driven models for predicting dynamic responses of linear and nonlinear systems are of great importance due to their wide application from probabilistic analysis to inverse pro…
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
Nur Sila Gulgec, Zheng Shi, Neil Deshmukh +2
Discovering the underlying physical behavior of complex systems is a crucial, but less well-understood topic in many engineering disciplines. This study proposes a finite-differenc…