Complexity testing techniques for time series data: A comprehensive literature review
L Tang, H Lv, F Yang, L Yu - Chaos, Solitons & Fractals, 2015 - Elsevier
Complexity may be one of the most important measurements for analysing time series data;
it covers or is at least closely related to different data characteristics within nonlinear system …
it covers or is at least closely related to different data characteristics within nonlinear system …
A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
X Zhang, Y Liang, J Zhou - Measurement, 2015 - Elsevier
This paper presents a novel hybrid model for fault detection and classification of motor
bearing. In the proposed model, permutation entropy (PE) of the vibration signal is …
bearing. In the proposed model, permutation entropy (PE) of the vibration signal is …
Review of hydraulics of Floating Treatment Islands retrofitted in waterbodies receiving stormwater
Stormwater pollution causes an excessive influx of nutrients and metals to the receiving
waterbodies (stormwater ponds, lakes, and rivers), which can cause eutrophication and …
waterbodies (stormwater ponds, lakes, and rivers), which can cause eutrophication and …
Permutation entropy and statistical complexity analysis of Brazilian agricultural commodities
Agricultural commodities are considered perhaps the most important commodities, as any
abrupt increase in food prices has serious consequences on food security and welfare …
abrupt increase in food prices has serious consequences on food security and welfare …
Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended …
S Lahmiri - Physica A: Statistical Mechanics and its Applications, 2015 - Elsevier
The purpose of this study is to investigate long-range dependence in trend and short
variation of stock market price and return series before, during, and after 2008 financial …
variation of stock market price and return series before, during, and after 2008 financial …
A machine learning framework for the temporal evolution of microstructure during static recrystallization of polycrystalline materials simulated by cellular automaton
S Hashemi, SR Kalidindi - Computational Materials Science, 2021 - Elsevier
Reduced-order models of process-structure evolution linkages play a central role in the
discovery and development of new/improved materials and their deployment in advanced …
discovery and development of new/improved materials and their deployment in advanced …
Investigating anthropically induced effects in streamflow dynamics by using permutation entropy and statistical complexity analysis: A case study
In this paper we investigated the influence of the construction of Sobradinho dam on daily
streamflow of São Francisco river, Brazil, using permutation entropy method. We analyzed a …
streamflow of São Francisco river, Brazil, using permutation entropy method. We analyzed a …
Complexity entropy-analysis of monthly rainfall time series in northeastern Brazil
In this work we analyze predictability and complexity of monthly rainfall temporal series
recorded from 1950 to 2012, at 133 gauging stations in Pernambuco state, northeastern …
recorded from 1950 to 2012, at 133 gauging stations in Pernambuco state, northeastern …
Энтропийный анализ данных в физике, биологии и технике
ОВ Цветков - 2015 - elibrary.ru
Представлены теоретические основы, методы, алгоритмы и практические
рекомендации для повышения информативности и воспроизводимости результатов …
рекомендации для повышения информативности и воспроизводимости результатов …
[HTML][HTML] Characterization of river flow fluctuations via horizontal visibility graphs
We report on a large-scale characterization of river discharges by employing the network
framework of the horizontal visibility graph. By mapping daily time series from 141 different …
framework of the horizontal visibility graph. By mapping daily time series from 141 different …