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Ordinal patterns-based methodologies for distinguishing chaos from noise in discrete time series
One of the most important aspects of time series is their degree of stochasticity vs. chaoticity. Since the discovery of chaotic maps, many...
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Time Series Analysis of the Hybrid Quantum-Classical Method of Simulation of High-Temperature Spin Dynamics
Series expansion of the two-spin correlation functions is obtained in the context of the hybrid quantum-classical method of simulation of...
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Estimating a continuously varying offset between multivariate time series with application to COVID-19 in the United States
This paper introduces new methods to track the offset between two multivariate time series on a continuous basis. We then apply this framework to...
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Gap Recovery in the Time Series of CO\({}_{\mathbf{2}}\) Concentration and Air Temperature Using Methods of Mathematical Statistics
AbstractThe article is dedicated to the problem of recovering gaps in data series of experimental long-term continuous high-frequency observations of...
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Time series pattern identification by hierarchical community detection
Identifying time series patterns is of great importance for many real-world problems in a variety of scientific fields. Here, we present a method to...
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Near real-time gravitational wave data analysis of the massive black hole binary with TianQin
Space-borne gravitational wave (GW) detectors can detect the merger of massive black holes. The early warning and localization of GW events before...
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Windowed scalogram entropy: wavelet-based tool to analyze the temporal change of entropy of a time series
In this paper, we propose a new entropy calculation method to observe the temporal change of the entropy of dynamical systems. The proposed entropy...
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A model of artificial biological time series generation
This paper presents a novel model of artificial biological time series generation. We employed a cellular automata (CA) system that comprises...
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Comparison of Time Series of Integrated Aerosol Content in the Stratosphere and Total Ozone Content
Abstract —We present the decadally averaged time series of the total ozone content and integrated aerosol backscattering coefficient over Tomsk in the...
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Detecting hidden changes in the dynamics of noisy nonlinear time series by using the Jensen–Shannon divergence
A new algorithm is described for detecting hidden changes in the topological structure of the dynamics of a nonlinear system due to the perturbations...
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On weakly nonlinear electron-acoustic waves in the fluid ions, bifurcation analysis, generalized symmetries and series solution propagated via Biswas–Milovic equation
In this study, various kinds of wave solutions corresponding to the conformable time-fractional Biswas–Milovic model have been obtained via the new...
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Analyzing the Time Series of Coordinates from the GNSS Station Chernihiv (CNIV)
Abstract—Observations at permanent stations of the Global Navigation Satellite System (GNSS) are directly related to global and local movements of...
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Time domain analysis of different ballistic deficit correct methods
The principles of different ballistic deficit correct (BDC) methods were discussed and verified at length in time domain. Confirmations were...
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Homotopy Analysis with Shehu Transform Method for Time-Fractional Modified KdV Equation in Dusty Plasma
In this article, a semi-analytical method for effectively solving the time-fractional modified KdV equation, which describes dust acoustic waves in a...
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Detection of data corruption in stationary time series using recurrence microstates probabilities
Recurrence microstates can be used to analyze many properties of stationary states of stochastic and deterministic time series, including the level...
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Deep Neural Network for Time Dependent Reliability Analysis of Structures
Unlike reliability analyses of structures under static or deterministic dynamic loads, the application of metamodeling approach for time dependent...
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Two string theory flavours of generalised Eisenstein series
Generalised Eisenstein series are non-holomorphic modular invariant functions of a complex variable, τ , subject to a particular inhomogeneous Laplace...
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Time-Domain NMR Techniques in Cellulose Structure Analysis
The role of cellulose in various applications is remarkably going up in recent decades as it is a renewable material for wide areas of applications...
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