Results 11 to 20 of about 31,033 (265)
A New Recurrence-Network-Based Time Series Analysis Approach for Characterizing System Dynamics
Entropy, 2019 In this paper, a novel analysis method based on recurrence networks is proposed to characterize the evolution of dynamical systems. Through phase space reconstruction, a time series was transformed into a high-dimensional recurrence network and a ...
Guangyu Yang, Daolin Xu, Haicheng Zhang
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Emergent multiscale dynamics in photonic neurons with dual feedback [PDF]
Scientific ReportsComplex dynamical systems are inherently governed by multiscale dynamics, where processes on different temporal, spatial, and intensity scales interact through feedback mechanisms.
Andrés Aragoneses
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Hierarchical time‐series analysis of dynamic bioprocess systems
Biotechnology Journal, 2022 AbstractBackgroundMonoclonal antibodies (mAbs) are leading types of ‘blockbuster’ biotherapeutics worldwide; they have been successfully used to treat various cancers and chronic inflammatory and autoimmune diseases. Biotherapeutics process development and manufacturing are complicated due to lack of understanding the factors that impact cell ...
Alinaghi, Masoumeh +7 more
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Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series [PDF]
Network Neuroscience, 2021 Abstract Functional connectivity (FC) describes the statistical dependence between neuronal populations or brain regions in resting-state fMRI studies and is commonly estimated as the Pearson correlation of time courses. Clustering or community detection reveals densely coupled sets of regions constituting resting-state networks or ...
Olaf Sporns +4 more
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Entropy, 2021 The combination of network sciences, nonlinear dynamics and time series analysis provides novel insights and analogies between the different approaches to complex systems.
Bulcsú Sándor +3 more
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SoftwareX, 2020 Symbolic Information Flow Measurement software is used to compute the information flow between different components of a dynamical system or different dynamical systems using symbolic transfer entropy.
Dhurata Nebiu, Hiqmet Kamberaj
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Pattern identification in dynamical systems via symbolic time series analysis [PDF]
Pattern Recognition, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Venkatesh Rajagopalan +3 more
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Functional observability and subspace reconstruction in nonlinear systems
Physical Review Research, 2022 Time-series analysis is fundamental for modeling and predicting dynamical behaviors from time-ordered data, with applications in many disciplines such as physics, biology, finance, and engineering.
Arthur N. Montanari +3 more
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Online real-time learning of dynamical systems from noisy streaming data
Scientific Reports, 2023 Recent advancements in sensing and communication facilitate obtaining high-frequency real-time data from various physical systems like power networks, climate systems, biological networks, etc. However, since the data are recorded by physical sensors, it
S. Sinha +2 more
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Reservoir time series analysis: Using the response of complex dynamical systems as a universal indicator of change [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022 We present the idea of reservoir time series analysis (RTSA), a method by which the state space representation generated by a reservoir computing (RC) model can be used for time series analysis. We discuss the motivation for this with reference to the characteristics of RC and present three ad hoc methods for generating representative features from the
Braden Thorne +4 more
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