Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Abstract: Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical ...
Abstract: Purpose of the Tutorial: to give a rigorous and academic point of view on the fundamentals of radar detection, receiver performance analysis, Monte Carlo simulation of radar receivers, and ...
StOP is a gradient-free, parallel, global, stochastic, multi-objective optimization algorithm primarily written to optimize the MCMC (Markov Chain Monte Carlo) sampling parameters for the Integrative ...
How to use statistical tools for component tolerance analysis. A look at methods such as Monte Carlo and Gaussian distribution. Simulating a dc-dc converter in LTspice to model closed-loop voltage ...
THB inversion utilizes a reversible-jump Markov-chain Monte Carlo (MCMC) algorithm to create a set of velocity models that best describe the observed data (Bodin et al., 2012; Burdick and Lekic, 2017) ...
Structural color comes from interference of light scattered from a nanostructure. Disordered nanostructures have structural colors that are independent of viewing angle, similar to dyed materials.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results