What exactly is an Anderson-Darling test? Testing for normality is often the first step in analyzing your data. Many ...
As with all probability distributions, the Normal Distribution describes how the values of your data are distributed.
Monte Carlo (MC) simulations use repeated random sampling to relate process variations to circuit performance and functionality, thus determining how they impact yield. However, for comprehensive ...
Global biodiversity is declining at an unprecedented rate, with agriculture as a major driver. There is mounting evidence that intercropping can increase insect biodiversity while maintaining or ...
Abstract: This article presents a novel hyperspectral image (HSI) classification approach that integrates the sparse inducing variational Gaussian process (SIVGP) with a spatially adaptive Markov ...
However, effectively handling non-Gaussian environments remains a crucial challenge for DKF. This paper proposes a solution by partitioning the noise distribution into multiple Gaussian components, ...
You might have heard the term “splat” or “Gaussian splat” used recently in the XR space. Gaussian splatting is a rendering technique that has been around for a long time but has found a ...
We have explored two approaches: a simple one based on independent, stationary Gaussian processes and a more advanced one relying on deep neural networks with autoencoders and convolutional layers. In ...
Understanding how a qualified charitable distribution (QCD) works is important. Not only could the donation lead to several tax benefits, but the money donated may substantially impact the charity ...
Project lead. Corresponding author. Recently, 3D Gaussian splatting (3D-GS) has achieved great success in reconstructing and rendering real-world scenes. To transfer the high rendering quality to ...
Your small business can choose from a variety of distribution channels, all of which can affect your target market, product, price and reputation. You may need to experiment with a mix of distribution ...