A review of wavelet analysis and its applications: Challenges and opportunities

T Guo, T Zhang, E Lim, M Lopez-Benitez, F Ma… - IEEe …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Wavelet transform application for/in non-stationary time-series analysis: A review

M Rhif, A Ben Abbes, IR Farah, B Martínez, Y Sang - Applied Sciences, 2019 - mdpi.com
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 …

[HTML][HTML] A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework

M Masud, N Sikder, AA Nahid, AK Bairagi, MA AlZain - Sensors, 2021 - mdpi.com
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 …

Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis

E Bouri, SJH Shahzad, D Roubaud, L Kristoufek… - The Quarterly Review of …, 2020 - Elsevier
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 …

Wavelet-based test of co-movement and causality between oil and renewable energy stock prices

JC Reboredo, MA Rivera-Castro, A Ugolini - Energy Economics, 2017 - Elsevier
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 …

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 …

A review on the modernization of pharmaceutical development and manufacturing–Trends, perspectives, and the role of mathematical modeling

F Destro, M Barolo - International Journal of Pharmaceutics, 2022 - Elsevier
Recently, the pharmaceutical industry has been facing several challenges associated to the
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 …

Challenges, advances and future trends in AC microgrid protection: With a focus on intelligent learning methods

M Uzair, L Li, M Eskandari, J Hossain, JG Zhu - … and Sustainable Energy …, 2023 - Elsevier
Increasing power demand, aging distribution systems and concerns towards greenhouse
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 …