Then, using the relation between the Birnbaum–Saunders and log-Birnbaum–Saunders distributions, a generator of random numbers for the Birnbaum–Saunders distribution is obtained by taking exp(Y) in Equation (2.72), which is summarized in Algorithm 2. Algorithm 2 Generator 2 of random numbers fro...
GeneratorMix ↔ Leon's Random Generators A place with hundreds of generators split into different categories from science to entertainment. /generatormix-alternatives TS The Surrealist ↔ Leon's Random Generators Several online generator toys. ...
A random number generator is a tool in computer science that uses hashing and seeding data to generate pseudo random numbers without revealing the seed data it has access to. AI generated definition based on: Cryptography for Developers, 2007 ...
A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks Sunar, B., Martin, W.J., Stinson, D.R.: A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks. In: IEEE ... B Sunar,WJ Martin,DR Stinson - 《IEEE Transactions ...
In this paper, we extend the work on purely mathematical Trojan horses initially presented in [15]. This kind of mechanism affects the statistical properties of an infected random number generator (RNG) by making it very sensitive to input entropy. There
(2) the most relevant genes identified in the MLP neural network that had used the random number generator for the artificial intelligence analysis and dimensionality reduction (i.e., EPB41L4B, MOCOS, SPIN2A, BTD, SRGAP3, CTNS, PRB1, L1CAM, and CEP57); and (3) the international ...
electronics Article Random Number Generator with Long-Range Dependence and Multifractal Behavior Based on Memristor María Téllez 1, Johan Mejía 1, Hans López 1 and Cesar Hernández 2,* 1 Electronic Engineering Department, Universidad Distrital Francisco José de Caldas, Bogotá 110221, Colombia; ...
of 25 employees out of a hat from a company of 250 employees. In this case thepopulationis all 250 employees, and the sample is random because each employee has an equal chance of being chosen. Random sampling is used in science to conduct randomized control tests or for blinded experiments...
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Random graph generators are necessary tools for many network science applications. For example, the evaluation of graph analysis algorithms requires methods for generating realistic synthetic graphs. Typically random graph generators are generating graph