Results 31 to 40 of about 23,325 (286)
Diffusion approximation-based simulation of stochastic ion channels: which method to use?
Frontiers in Computational Neuroscience, 2014 To study the effects of stochastic ion channel fluctuations on neural dynamics, several numerical implementation methods have been proposed. Gillespie’s method for Markov Chains (MC) simulation is highly accurate, yet it becomes computationally intensive
Danilo ePezo +3 more
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Computational methods for birth-death processes
Wiley Interdisciplinary Reviews: Computational Statistics, 2018 Many important stochastic counting models can be written as general birth‐death processes (BDPs). BDPs are continuous‐time Markov chains on the non‐negative integers in which only jumps to adjacent states are allowed.
Forrest W. Crawford, L. Ho, M. Suchard
semanticscholar +1 more source
IEEE AccessIn this paper, the performance of different mathematical models for the joint connection-level and packet-level numerical evaluation of systems with Voice over Internet Protocol (VoIP) traffic are studied and compared.
Mario A. Ramirez-Reyna +3 more
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Just Another Method to Compute MTTF from Continuous Time Markov Chain
CoRR, 2022 3 pages, 1 ...
openaire +2 more sources
IEEE AccessIn the software defined network (SDN)/network function virtualization (NFV)-enabled networks, service function chains (SFCs) should typically be allocated to deploy these services, which not only entails meeting the service’s Quality of Service ...
Donghao Zhao +4 more
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The Jump Start Power Method: A New Approach for Computing the Ergodic Projector of a Finite Markov Chain [PDF]
Journal of Scientific Computing, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Joost Berkhout, Bernd Heidergott
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Communications Biology, 2022 Bayesian methods, such as BayesR, for predicting the genetic value or risk of individuals from their genotypes, such as Single Nucleotide Polymorphisms (SNP), are often implemented using a Markov Chain Monte Carlo (MCMC) process.
E. Breen +7 more
semanticscholar +1 more source
Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
Model Selection and Parameter Inference in Phylogenetics Using Nested Sampling [PDF]
Systematic Biology, 2017 &NA; Bayesian inference methods rely on numerical algorithms for both model selection and parameter inference. In general, these algorithms require a high computational effort to yield reliable estimates.
Patricio Maturana Russel +3 more
semanticscholar +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source