University of Queensland researchers have created a microscopic "ocean" on a silicon chip to miniaturize the study of wave ...
Toni Townes-Whitley didn’t follow a step-by-step blueprint to reach the top of the defense industry. The SAIC CEO’s path was ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
The burden of cognitive decline is growing, affecting many people worldwide and placing a substantial strain on health-care ...
Abstract: Gaussian Mixture Function (GMF) is a widely utilized model for analyzing and elucidating experimental data in science and engineering, where the fitting of GMF with noisy observations is ...
Woodward notes a PWM nonlinearity in a DI that software can't fix, and presents a potential solution: adjusting resistor values.
Abstract: This letter proposes a novel complex-valued nonlinear function (CVNF) approximation method for adaptive nonlinear filter, which is used to digitally cancel the weak nonlinearity, a commonly ...
1 MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom 2 Department of Psychology and York Biomedical Research Institute, University of York, York, United Kingdom ...
We introduce a model of dark matter inspired by non-linear gravito-electromagnetism formulation of Roy Maartens and Bruce Bassett. The model is a fully covariant 1 + 3 electromagnetic analogy of ...
Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
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