Prediction based on time series has a wide range of applications. Due to the complex
nonlinear and random distribution of time series data, the performance of learning prediction …

Deformation is a paramount index of bridge health monitoring. Accurate prediction of bridge
deformation is of great significance to evaluate bridge performance. However, owing to the …

Compared with mechanism-based modeling methods, data-driven modeling based on big
data has become a popular research field in recent years because of its applicability …

Cement grouting materials have been widely used in maintenance and reinforcement
engineering. Various design methods have been developed to determine the optimal …

Aiming at the problem of low prediction accuracy of ship motion with the characteristics of
non-stationary, nonlinear and stochastic, this paper proposes a combined prediction model …

Current data analysis for the Canadian Olympic fencing team is primarily done manually by
coaches and analysts. Due to the highly repetitive, yet dynamic and subtle movements in …

The accuracy of offshore wind power forecasting (OWPF) is the basis for guaranteeing the
safe dispatch and economic operation of power systems, which can reduce the technical …

Structural deformation prediction is important for maintaining the serviceability and safety of
civil infrastructure. However, current deep learning-based single prediction models face …

The performance of civil materials depends on their compositions. The material design is an
important, challenging, and time-consuming work during the construction due to the complex …

Accurate power load forecasting provides reliable decision support for power system
planning and operation, however, only using the load data for prediction is not enough …