Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
GitHub

SciChart WPF Demo, Examples, Tutorials and Boilerplates

The SciChart WPF Examples Suite has over 130 examples of 2D & 3D WPF Charts with & without MVVM, as well as featured apps which show the speed, power and flexibility of the SciChart.WPF Chart library!
IEEE

Multirate Timestamp Modeling for Ultralow-Jitter Frequency Synthesis: A Tutorial

Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...
IEEE

A Tutorial on Holographic MIMO Communications—Part I: Channel Modeling and Channel Estimation

Abstract: By integrating a nearly infinite number of reconfigurable elements into a finite space, a spatially continuous array aperture is formed for holographic multiple-input multiple-output (HMIMO) ...
GitHub

A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge graphs.

All tutorials require a clean instance of the Neo4j graph database system running for this tutorial. a small example dataset that on which you can learn all the design ideas and modeling power of ...