On the lifting and reconstruction of nonlinear systems with multiple attractors
The Koopman operator provides a linear perspective on non-linear dynamics by focusing on the evolution of observables in an invariant subspace. Observables of interest are typically linearly reconstructed from the Koopman eigenfunctions.
Duraisamy, Karthik, Pan, Shaowu
core
Mathematical analysis of a cancer model with time-delay in tumor-immune interaction and stimulation processes. [PDF]
Dehingia K +3 more
europepmc +1 more source
Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport. [PDF]
Nielsen F, Marti G, Ray S, Pyne S.
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Forecasting COVID-19 pandemic using optimal singular spectrum analysis. [PDF]
Kalantari M.
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Study of the trend pattern of COVID-19 using spline-based time series model: a Bayesian paradigm. [PDF]
Kumar J, Agiwal V, Yau CY.
europepmc +1 more source
WEAK SINDy: GALERKIN-BASED DATA-DRIVEN MODEL SELECTION. [PDF]
Messenger DA, Bortz DM.
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Simultaneous loading of PCR-based multiple fragments on mouse artificial chromosome vectors in DT40 cell for gene delivery. [PDF]
Yamazaki K +10 more
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A Dynamic Model for Double Bounded Time Series With Chaotic Driven Conditional Averages
In this work we introduce a class of dynamic models for time series taking values on the unit interval. The proposed model follows a generalized linear model approach where the random component, conditioned on the past information, follows a beta ...
Prass, Taiane Schaedler +2 more
core
Intercropping System and N2 Fixing Bacteria Can Increase Land Use Efficiency and Improve the Essential Oil Quantity and Quality of Sweet Basil (Ocimum basilicum L.). [PDF]
Kordi S +4 more
europepmc +1 more source
An Enterprise Time Series Forecasting System for Cloud Applications Using Transfer Learning. [PDF]
Poghosyan A +6 more
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