Time series prediction techniques have been used in many real-world applications such as
financial market prediction, electric utility load forecasting, weather and environmental state …

Geohazard prevention and mitigation are highly complex and remain challenges for
researchers and practitioners. Artificial intelligence (AI) has become an effective tool for …

In the last decade, market financial forecasting has attracted high interests amongst the
researchers in pattern recognition. Usually, the data used for analysing the market, and then …

Artificial Intelligence is a disruptive technology developed during the 20th century, which has
undergone an accelerated evolution, underpinning solutions to complex problems in the …

Accurate prediction of financial market can promote the steady development of financial
market, but the high frequency and high noise of financial time series make accurate …

Due to the growing demand on renewable energy, photovoltaic (PV) generation systems
have increased considerably in recent years. However, the power output of PV systems is …

Stock market forecasting has attracted significant attention mainly due to the potential
monetary benefits. Predicting these markets is a challenging task due to numerous …

Successful investment strategies are specific implementations of general theories. An
investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset …

Accurate prediction of bridge responses plays an essential role in health monitoring and
safety assessment of bridges subjected to dynamic loads such as earthquakes. To this end …

For classification problems, the generalized eigenvalue proximal support vector machine
(GEPSVM) and twin support vector machine (TWSVM) are regarded as milestones in the …