... and flow field surrounding a circular cylinder undergoing vortex-induced vibration (VIV). Physics-informed neural networks (PINNs) are powerful deep learning techniques for solving governing partial differential equations (PDEs) of dynamic systems as an alternative to complex numerical methods...

... maintaining a good accuracy level of the system’s response. This work proposes different strategies to develop artificial neural network (ANN) architectures, based on deep learning (DL) algorithms, which can predict multiple structural node responses at once, in time and space, significantly reducing...

... that supports distinct navigation situations in future vessels as agent-based systems. The main core of this agent consists of deep learning type technology that has presented promising results in other transportation systems, i.e., self-driving cars. Deep learning can capture helmsman behavior; therefore...