Uncertainty propagation in nonlinear dynamical systems is a field of study that explores how measurement inaccuracies, initial condition errors, and model approximations evolve within inherently ...

We often encounter nonlinear dynamical systems that behave unpredictably, such as the earth's climate and the stock market. To analyze them, measurements taken over time are used to reconstruct the ...

Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such ...

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 ...

Rising temperatures and intensifying drought continue to worsen with the global climate crisis. According to the World Health Organization, an estimated 55 million people worldwide are affected by ...

Efficient Large Displacement/Large Rotation Dynamic Simulations Using Nonlinear Dynamic Substructures Utilizing reduced-order ...

Many frequently observed real-world phenomena are nonlinear in nature. This means that their output does not change in a manner that is proportional to their input. These models have a degree of ...