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Published in 2025 at "Physical review. E"
DOI: 10.1103/physreve.111.044212
Abstract: Recurrence analysis is a powerful tool for nonlinear time series analysis deeply rooted in the theory of dynamical systems, finding applications across many areas of science. It works by mapping recurrences of a time series…
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Keywords:
based recurrence;
recurrence measures;
density;
measures microstates ... See more keywords
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Published in 2024 at "Chaos"
DOI: 10.48550/arxiv.2401.10298
Abstract: We integrate machine learning approaches with nonlinear time series analysis, specifically utilizing recurrence measures to classify various dynamical states emerging from time series. We implement three machine learning algorithms: Logistic Regression, Random Forest, and Support…
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Keywords:
dynamical states;
machine learning;
machine;
recurrence measures ... See more keywords