Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...

Let's delve into the fascinating world of piecewise functions, focusing specifically on those exhibiting discontinuous domains. While often perceived as complex, these functions are powerful tools for ...

The transfer function module has a number of transfer function classes for multivariate transfer functions (a base MultiVariateTransferFunction and a PlanckTransferFunction). They build OK, but it ...

Math fans can now spin, zoom, and explore complex equations in full 3D right on their iPad with iPadOS 26. Here's what it looks like. With iPadOS 26, Apple is introducing interactive 3D graphing in ...

Learn to choose coordinate systems, visualize multivariable functions, and parameterize curves. You can use these live scripts as demonstrations in lectures, class activities, or interactive ...

1 Institute of Mathematics, University of Lübeck, Lübeck, Germany 2 Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv, Ukraine This paper ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Finding the extrema of a multivariable function is an essential skill in calculus and applied mathematics. This process allows you to determine the minima and maxima of a function across multiple ...

Abstract: Symbolic regression is aimed at discovering mathematical expressions, in symbolic form, that fit a given sample of data points. While genetic programming (GP) constitutes a powerful tool for ...