This paper proposes a new multi-echelon 4-D chaotic supply chain model (NME-4D-CSCM) incorporating a sinusoidal nonlinearity to better represent uncertainties in supply chain dynamics. The model ...

Many systems obey simple, linear rules: If you pull twice as hard on a spring, it stretches twice as far. However, when we introduce very large forces or complicated interactions, that linear rule ...

Simplified models of systems with fast and slow dynamics can miss a narrow region of phase space—a “singular funnel”—leading ...

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...

Engineers at Tokyo Institute of Technology (Tokyo Tech) have demonstrated a simple computational approach for supporting the classification performance of neural networks operating on sensor time ...

Nonlinear dynamics in fluids is a research area focused on the analysis and prediction of fluid flows governed by nonlinear partial differential equations, such as the Navier–Stokes and Euler ...