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Fuzzy models and probabilistic models are mainly used to build a relationship between the FOR of the component and its operational status or external environment.
Analytical models and probabilistic methods have been proven to be very useful tools for optimizing the design of remediation strategies for NAPL-contaminated sites.
The analysis is based on an approximate representation of response by diffusion models and probabilistic characteristics of the first passage time of these models.
This paper develops a framework that combines efficient dynamic response models and probabilistic assessment tools to show how to structural response and improve structural reliability when equipping modern turbines with tuned liquid column dampers (TLCDs).
This paper combines structural dynamic models and probabilistic assessment tools to demonstrate improvements in structural reliability when modern wind turbine towers are equipped with active tuned mass dampers (ATMDs).
Another classification was proposed by Tsuchiya et al. (1966) and distinguishes deterministic models and probabilistic models.
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The model is composed of Markov chain, queuing sub-models, and probabilistic spatial model of vehicles.
However, no one has yet proven this analytically using an appropriate mathematical model and probabilistic considerations.
A novel method for combining bigram model and Probabilistic Latent Semantic Analysis (PLSA) is introduced for language modeling.
Based on the interval reliability model and probabilistic operation, a new probabilistic and interval hybrid reliability model is proposed.
Further, flooding model in [2] consists of node-to-node communication model, multihop communication model, and probabilistic flooding model as explained below.
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