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Time Series of Space Observations: Analysis of Local Meteorological and Solar Series
AbstractA range of issues related to the results of the analysis of some meteorological and solar series of satellite observations in the Kara-Dag...
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Quantum deep neural networks for time series analysis
Quantum machine learning (QML) has emerged as a promising domain offering significant computational advantages over classical counterparts. In recent...
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Bursty Time Series Analysis for Temporal Networks
Characterizing bursty temporal interaction patterns of temporal networks is crucial to investigate the evolution of temporal networksTemporal...
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A comparative study of simulink fuzzy inference system time series method and traditional time series methods for forecasting the air quality index
The primary objective of this paper is to conduct a comparative analysis between simulink fuzzy inference system (FIS) time series analysis and...
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Income inequality analysis through complex network and nonlinear time series approaches: an Econophysics perspective
The present work delineates the potential of nonlinear time series, phase portraits, and complex network analyses in investigating and forecasting...
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Chaotic characteristic analysis and prediction of bottleneck-delay time series under the Internet macro-topology
Internet has evolved into a nonlinear and open system that operates far from equilibrium. Aiming at the issue that the network delay is usually in an...
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Short-time Fourier transform and embedding method for recurrence quantification analysis of EEG time series
Electroencephalography (EEG) allows recording of cortical activity at high temporal resolution. Creating features useful for the analysis of the EEG...
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Method for Comparison Testing of Parametric Power Spectrum Estimates: Spectral Analysis Via Time Series Synthesis
The task of comparison testing of time series power spectrum parametric estimates is considered. It is shown that an urgent problem that arises in...
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Tracing technological shifts: time-series analysis of correlations between patent classes
Patents are used as a reliable indicator for the study of technological evolution in specific fields. Patent citation networks can further enlighten...
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Constructing the fractional series solutions for time-fractional K-dV equation using Laplace residual power series technique
In this article, we construct the series solution of the time-fractional Korteveg de Vries (K-dV) equation through a computational approach named as...
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Higher-order organization of multivariate time series
Time series analysis has proven to be a powerful method to characterize several phenomena in biology, neuroscience and economics, and to understand...
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Study the dynamic behavior of bifurcation, chaos, time series analysis and soliton solutions to a Hirota model
The unified technique is a direct method that is employed in this study to extract a wide range of accurate solutions of the (2+1)-dimensional Hirota...
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Entropy Functionals and Information Difference of Satellite-Monitoring Time Series
AbstractThe results of information analysis of the time series of satellite monitoring of the state of the interplanetary magnetic field provided by...
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Characteristics of ceaselessly generable biological time series
In this study, the characteristics of biological signals were examined, and a biological time series was produced by making use of the...
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Time-series quantum reservoir computing with weak and projective measurements
Time-series processing is a major challenge in machine learning with enormous progress in the last years in tasks such as speech recognition and...
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Fourier Series; Harmonic Analysis
In Chap. 8 we showed that a function f(x) which may be differentiated any number of times can usually be...
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Using negative controls to adjust for unmeasured confounding bias in time series studies
Unmeasured confounding threatens the validity of observational studies. Negative control variables (NCs) are variables that either do not cause the...
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Storage optimisation and distributed architecture for time series reconstruction of massive astronomical catalogues
Time series reconstruction of astronomical catalogues is an important part of data archiving and a basis for time-domain astronomical analysis in the...
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Multifractal fluctuations in zebrafish (Danio rerio) polarization time series
AbstractIn this work, we study the polarization time series obtained from experimental observation of a group of zebrafish ( Danio rerio ) confined in...
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A Koopman–Takens Theorem: Linear Least Squares Prediction of Nonlinear Time Series
The least squares linear filter, also called the Wiener filter, is a popular tool to predict the next element(s) of time series by linear combination...
