Stock market forecasting is a vital component of financial systems. However, the stock prices
are highly noisy and non-stationary due to the fact that stock markets are affected by a …

A better understanding of the drivers and teleconnection mechanisms responsible for the
multi decadal mode (MDM) of variability of the Indian summer monsoon rainfall (ISMR) with …

This study aims to survey and summarize the studies that introduced forecasting time series
method based on EMD, providing references for researchers relating to this topic. We …

The first part of the Hilbert–Huang transformation is named the empirical mode
decomposition (EMD). Which employed to decompose the non-stationary and non-linear …

This thesis examines the application of machine learning pipelines for automatic
generalised seizure detection. We begin by introducing the potential pipeline components of …

In recent years, analyses of financial time series have attracted a lot of attention from
researchers and market practitioners. The study on theories and application technology of …