Results 1 to 10 of about 338,472 (315)
Hierarchical time‐series analysis of dynamic bioprocess systems [PDF]
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 ...
Masoumeh Alinaghi +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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Nonlinear Analysis of Return Time Series Model by Oriented Percolation Dynamic System [PDF]
Abstract and Applied Analysis, 2013 Fluctuation dynamics of financial price changes is developed and investigated by oriented percolation system; oriented percolation is percolation with a special direction along which the activity can only propagate one way but not the other. Then, nonlinear behaviors of distribution and leverage effect of return time series are studied for the proposed
Anqi Pei, Jun Wang
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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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Time Series Analysis Process of Dynamic Data in Internet of Things System
Journal of Physics: Conference Series, 2021 Abstract Time series analysis is a dynamic data analysis and processing method. The biggest characteristic of time series analysis is that the successive observations are not independent. When the observation series are correlated, the autocorrelation between the observation data can be used to establish the dynamic model of the data ...
Yu Song
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Dynamic Expression of Brain Functional Systems Disclosed by Fine-Scale Analysis of Edge Time Series [PDF]
, 2020 AbstractFunctional connectivity (FC) describes the statistical dependence between brain regions in resting-state fMRI studies and is usually estimated as the Pearson correlation of time courses. Clustering reveals densely coupled sets of regions constituting a set of resting-state networks or functional systems. These systems manifest most clearly when
Olaf Sporns +3 more
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A distance-based dynamical transition analysis of time series signals and application to biological systems [PDF]
Journal of Biological Physics, 2011 This study demonstrates an application of distance-based numerical measures to the phase space of time series signals, in order to obtain a temporal analysis of complex dynamical systems. This method is capable of detecting alterations appearing in the characters of the deterministic dynamical systems and provides a simple tool for the real-time ...
Serkan Alagöz, Barış Baykant Alagöz
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Analysis and prediction of hydrometeorological time series by dynamical system approach
, 2000 published_or_final_version ; Civil Engineering ; Doctoral ; Doctor of ...
Ai Bahadur Gurung
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ANALYSIS OF TIME SERIES RECONSTRUCTION FOR DYNAMIC SYSTEM
Acta Physica Sinica, 1996 The topological properties of the delay-time reconstruction transformation of dynamic system are analysed by means of the Jacobian of the transformation. Results show that the topological properties depend not only on the reconstructing dimension, but also on the delay time, and on the conditional stability of a time series itself.
Yang Zhi-an +3 more
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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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