A review of wavelet analysis and its applications: Challenges and opportunities
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 …
constantly developing. This article reviews the development history of wavelet theory, from …
[HTML][HTML] Wavelet transform application for/in non-stationary time-series analysis: A review
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 …
decades in different applied sciences. In fact, several decomposition methods were …
[HTML][HTML] A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework
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 …
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis
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 …
index against world, developed, emerging, USA, and Chinese stock market indices for the …
Wavelet-based test of co-movement and causality between oil and renewable energy stock prices
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 …
using continuous and discrete wavelets, firstly, to obtain information on dynamic correlations …
Combining principal component analysis, discrete wavelet transform and XGBoost to trade in the financial markets
J Nobre, RF Neves - Expert Systems with Applications, 2019 - Elsevier
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 …
the investor with the best entry and exit points of the financial market, however this is a …
A review on the modernization of pharmaceutical development and manufacturing–Trends, perspectives, and the role of mathematical modeling
Recently, the pharmaceutical industry has been facing several challenges associated to the
use of outdated development and manufacturing technologies. The return on investment on …
use of outdated development and manufacturing technologies. The return on investment on …
Brain tumor classification via statistical features and back-propagation neural network
MR Ismael, I Abdel-Qader - 2018 IEEE international conference …, 2018 - ieeexplore.ieee.org
Classification of brain tumor is the heart of the computer-aided diagnosis (CAD) system
designed to aid the radiologist in the diagnosis of such tumors using Magnetic Resonance …
designed to aid the radiologist in the diagnosis of such tumors using Magnetic Resonance …
Challenges, advances and future trends in AC microgrid protection: With a focus on intelligent learning methods
Increasing power demand, aging distribution systems and concerns towards greenhouse
gas emissions have resulted in the increased occurrence of distributed generation (DG) …
gas emissions have resulted in the increased occurrence of distributed generation (DG) …
[图书][B] Principles of system identification: theory and practice
AK Tangirala - 2018 - taylorfrancis.com
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 …
driven or measurement-based process operations, system identification is an interface that …