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Dan Zhang

Significant wave height prediction through artificial intelligent mode decomposition for wave energy management
Trajectory planning for unmanned surface vehicles in multi-ship encounter situations
Intelligent fault diagnosis for triboelectric nanogenerators via a novel deep learning framework
A data driven method for multi-step prediction of ship roll motion in high sea states
The effects of flow field design on PEMFC
Surrogate models for twin-VAWT performance based on Kriging and artificial neural networks
Simulation of low-frequency vortex-induced resonance triboelectric nanogenerator in low-velocity fluid
Reinforcement learning-based close formation control for underactuated surface vehicle with prescribed performance and time-varying state constraints
Trajectory tracking of underactuated unmanned surface vehicle with uncertain external disturbances and model parameters

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