As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly developing. This article reviews the development history of wavelet theory, from�…

Non-stationary time series (TS) analysis has gained an explosive interest over the recent
decades in different applied sciences. In fact, several decomposition methods were�…

In this study, we compare the safe-haven properties of Bitcoin, gold, and the commodity
index against world, developed, emerging, USA, and Chinese stock market indices for the�…

The field of Medicine and Healthcare has attained revolutionary advancements in the last
forty years. Within this period, the actual reasons behind numerous diseases were unveiled�…

Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote�…

We studied co-movement and causality between oil and renewable energy stock prices
using continuous and discrete wavelets, firstly, to obtain information on dynamic correlations�…

The wavelet transform has emerged over recent years as a powerful time–frequency
analysis and signal coding tool favoured for the interrogation of complex nonstationary�…

Electroencephalogram (EEG)-based emotion recognition is a relatively new field in the
affective computing area with challenging issues regarding the induction of the emotional�…

When investing in financial markets it is crucial to determine a trading signal that can provide
the investor with the best entry and exit points of the financial market, however this is a�…

Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-
driven or measurement-based process operations, system identification is an interface that�…