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Maximizing the Probability of Fixation in the Positional Voter Model
The Voter model is a well-studied stochastic process that models the invasion of a novel trait $A$ (e. g., a new opinion, social meme, genetic mutation, magnetic spin) in a network of individuals (agents, people, genes, particles) carrying an existing resident trait $B$.
Analysis of key flavors of event-driven predictive maintenance using logs of phenomena described by Weibull distributions
This work explores two approaches to event-driven predictive maintenance in Industry 4. 0 that cast the problem at hand as a classification or a regression one, respectively, using as a starting point two state-of-the-art solutions.
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