Abstract: Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of ...

Rohm has introduced the DOT-247, a 2-in-1 SiC molded module that combines two TO-247 devices to deliver higher power density. The dual structure accommodates larger chips, while the optimized internal ...

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...

The Graphics Processing Unit (GPU) plays a central part in how you use a computer, irrespective of whether you use it for hardcore gaming or just regular tasks. There are two common types of GPUs, ...

Application examples will show you how high density power conversion can optimize vehicle power from the high voltage battery to an efficient, lightweight 48V zonal architecture: 400/800V charging ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

In this paper, we consider the function f p ( t )= 2p X 2 ( 2p t+p;p ) , where χ²(x; n) defined by X 2 ( x;p )= 2 −p/2 Γ( p/2 ) e −x/2 x p/2−1 , is the density function of a χ²-distribution with n ...

Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...

Modeling and visualization of bound-state hydrogen eigenfunctions and electron probability densities. Python 3.12.11 Matplotlib 3.10.6 Seaborn 0.13.2 NumPy 2.3.2 SciPy 1.16.1 Quantum mechanics (QM) is ...