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 ...
Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...
I had two reasons for making this. First off, I want to start 3d-printing out cases for some of my Arduino or Rasberry Pi hobby projects, and wanted an accurate virtual model of the boards I order for ...
Prospector (https://github.com/bd-j/prospector) is an SED modeling code that wraps FSPS stellar modeling and Dynesty dynamical nested Bayesian sampling. It enables ...
Abstract: 3D character model is the carrier of human in the virtual world. Games, film, industry, and other application areas need a large number of practical and creative character models, but it ...
Breaking new ground in the theory and practice of computational systems and their applications, the School of Computer Science is a progressive, inclusive department, providing specialist teaching and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results