Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

The strategy for encoding Petri nets as chained linear lists involves two structures: one for PList placements and one for TList transitions. This is the orthogonal representation of chained linear ...

Grade Algebra Made Easy announced its self-paced study guide to help students build confidence in fundamental algebraic ...

For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

Quickly screen large amounts of possible materials for specific properties and select promising candidates for deeper ...

In particular, its relationship to the solution of the so-called Diophantine equation for polynomial matrices and the problem of the existence and computation of stabilizing controllers for linear ...

Abstract: A seminal work of [Ahn-Guha-McGregor, PODS’12] showed that one can compute a cut sparsifier of an unweighted undirected graph by taking a near-linear number of linear measurements on the ...

The “9th Grade Algebra Made Easy” program has been updated to cover new topics for those interested in studying over the ...

3. Graph Neural Networks GNNs have a broad range of uses in various domains due to the prevalence of graph-structured data, where the lack of an Euclidean structure makes it challenging to use DNNs in ...

This a GUI desktop app developed in Python which has the ability to plot graph of any type of equation.