Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

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 ...

Engineers have demonstrated a simple computational approach for supporting the classification performance of neural networks operating on sensor time series. The proposed technique involves feeding ...

Scientists developed a reconfigurable topological photonic system that steers light in real time using optical pumping, ...

As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic ...

Example-oriented survey of nonlinear dynamical systems, including chaos. Combines numerical exploration of differential equations describing physical problems with analytic methods and geometric ...

Topological photonics has emerged as a powerful paradigm for achieving robust light transport that is immune to imperfections, disorder, and ...