In recent times, predicting stock prices has garnered attention from both regulators and
academic circles. However, the intricate nature of financial time-series data, with its …

Traditional denoising methods establish mathematical models by employing different priors,
which can achieve preferable results but they are usually time-consuming and their outputs …

During the load rejection condition of the pump-turbines, the S-shaped characteristic would
lead to intense pressure pulsations, thus threatening the safe operation of the pumped …

Time series, including noise, non-linearity, and non-stationary properties, are frequently
used in prediction problems. Due to these inherent characteristics of time series data …

The volatility of crude oil markets and the pressing need for sustainable energy solutions
have sparked significant interest in forecasting methodologies that can better capture market …

In view of the strong randomness and non-stationarity of complex system, this study
suggests a hybrid multi-strategy prediction technique based on optimized hybrid denoising …

This study proposed an indirectly developed trading strategy based on the labeling methods
used in the literature on noiseless financial time series using the C EEMDAN method. This …

In the contemporary trading environment any competitive advantage is of core interest to
technical traders and financial analysts. Motifs (ie time series patterns corresponding to …

Webshell is a type of malicious script that is written by network attackers based on the
characteristics of web programming languages. It usually exists in the form of web files such …