Stability analysis of nonlinear time-varying systems is a critical area of research that underpins many modern engineering and scientific applications. These systems, described by differential ...

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ...

We derive the joint asymptotic distribution of the sample autocorrelation functions ρ̂R(i) of lag i, i = 1,..., l, based on the residuals {Rt}, t = 1, 2,..., n, obtained after fitting a nonlinear time ...

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 ...

The exploration of interplay between topology and nonlinearity leads to an emerging field of nonlinear topological physics.

For a time-to-event outcome with censored time-varying covariates, a joint Cox model with a linear mixed effects model is the standard modeling approach. In some applications such as AIDS studies, ...

Traditional causality detection methods, such as Granger causality and transfer entropy, require regularly sampled time ...

The latest announcement from the National Intellectual Property Administration shows that Yichuan Technology (Chengdu) Co., Ltd. and Baoni (Ningbo) Intelligent Technology Co., Ltd. have jointly ...