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Strong correlations between power-law growth of COVID-19 in four continents and the inefficiency of soft quarantine strategies
American Institute of Physics | 2020| -
Solutions of the linear and nonlinear differential equations within the generalized fractional derivatives
American Institute of Physics | 2019| -
New numerical surfaces to the mathematical model of cancer chemotherapy effect in Caputo fractional derivatives
American Institute of Physics | 2019| -
A new fractional model and optimal control of a tumor-immune surveillance with non-singular derivative operator
American Institute of Physics | 2019| -
A new and efficient numerical method for the fractional modeling and optimal control of diabetes and tuberculosis co-existence
American Institute of Physics | 2019| -
On the formulation of Adams-Bashforth scheme with Atangana-Baleanu-Caputo fractional derivative to model chaotic problems
American Institute of Physics | 2019| -
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
American Institute of Physics | 2017| -
Hidden hyperchaos and electronic circuit application in a 5D self-exciting homopolar disc dynamo
American Institute of Physics | 2017| -
New variable-order fractional chaotic systems for fast image encryption
American Institute of Physics | 2019| -
Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator
American Institute of Physics | 2017| -
Chimera states in brain networks: Empirical neural vs. modular fractal connectivity
American Institute of Physics | 2018| -
COVID-19 second wave mortality in Europe and the United States
American Institute of Physics | 2021| -
Observing spatio-temporal dynamics of excitable media using reservoir computing
American Institute of Physics | 2018| -
Causal network reconstruction from time series: From theoretical assumptions to practical estimation
Freier ZugriffAmerican Institute of Physics | 2018| -
Fractional operators with generalized Mittag-Leffler kernels and their iterated differintegrals
American Institute of Physics | 2019| -
Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model
American Institute of Physics | 2018| -
Numerical solution of predator-prey model with Beddington-DeAngelis functional response and fractional derivatives with Mittag-Leffler kernel
American Institute of Physics | 2019| -
Effects of partial time delays on phase synchronization in Watts-Strogatz small-world neuronal networks
American Institute of Physics | 2017| -
Coexistence of firing patterns and its control in two neurons coupled through an asymmetric electrical synapse
American Institute of Physics | 2020|
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