Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …

Signal processing methods are essential in scientific research, and time-frequency analysis
techniques such as Fourier Transform constitute an important progress in data analysis, but …

As an important component of the economic market, the stock market has been concerned
by many researchers. How to get the trend of the stock market and predict the stock price is a …

Generation of significant wave height (SWH) is considered as a complex and stochastic
dynamical process whose prediction is vital for effective marine, ocean engineering …

Significant wave height prediction for the following hours is a necessity for the planning and
operation of wave energy devices. For a site-specific and short-term prediction, classical …

Significant wave height forecasting is an important aspect of many ocean related
engineering and scientific phenomena. However, due to the complicated and chaotic nature …

Accurate significant wave height (Hs) prediction is crucial for marine renewable energy
development. The hybrid models combining multi-resolution analysis techniques such as …

To predict the future behavior of a system, we can exploit the information collected in the
past, trying to identify recurring structures in what happened to predict what could happen, if …

Industrial data streams frequently experience concept drifts. Current drift detection methods,
focusing on prediction performance or data distribution, often neglect temporal …

Waste electrical and electronic equipment (viz., WEEE or e-waste) is the fastest-growing
type of hazardous solid waste in the worldwide. The accurate prediction of the amount of e …